In [22]:
# reduce the learning after [lr_schedule_step] epochs by a factor of 10
n_epoch = 500
lr_schedule_step = 200
log_interval = len(train_loader) // 2
loss_history = []
train_acc_history = []
val_acc_history = []
best_val_acc = 0
model.reset_weights()
optimizer = optim.AdamW(model.parameters(), lr=10 ** best_log_lr, weight_decay=0.0001)
scheduler = optim.lr_scheduler.StepLR(optimizer, step_size=lr_schedule_step, gamma=0.1)
print(f'{"*"*40} Training Starts {"*"*40}')
for epoch in tqdm(range(1, n_epoch + 1)):
print(f'{"-"*30} Epoch {epoch:03d} / {n_epoch:03d}, Learning rate: {optimizer.param_groups[-1]["lr"]:.2e} {"-"*30}')
# train
loss, train_accuracy, train_confusion = train_one_epoch(model, optimizer, log_interval)
loss_history.extend(loss)
train_acc_history.append(train_accuracy)
# validation
val_accuracy, val_confusion = check_val_accuracy(model, repeat=5)
val_acc_history.append(val_accuracy)
if best_val_acc < val_accuracy:
best_val_acc = val_accuracy
best_model_state = deepcopy(model.state_dict())
# learning rate schedule
scheduler.step()
print()
print(f'* Train accuracy / confusion: {train_accuracy:.2f}% / {train_confusion.tolist()}, ')
print(f'* Val accuracy / confusion: {val_accuracy:.2f}% / {val_confusion.tolist()}')
print()
print(f'{"*"*40} Training Ends {"*"*40}')
# draw the training loss plot
draw_loss_plot(loss_history)
draw_accuracy_history(train_acc_history, val_acc_history)
# test the last model
last_model_state = deepcopy(model.state_dict())
last_test_accuracy, last_test_confusion, last_test_debug = check_test_accuracy(model, repeat=30)
print(f'- Test accuracy (last model): {last_test_accuracy:.2f}%')
print('- Confusion matrix (last model):\n', last_test_confusion)
print()
draw_confusion(last_test_confusion)
# test the best model
model.load_state_dict(best_model_state)
best_test_accuracy, best_test_confusion, best_test_debug = check_test_accuracy(model, repeat=30)
print(f'- Test accuracy (best model): {best_test_accuracy:.2f}%')
print('- Confusion matrix (best model):\n', best_test_confusion)
print()
draw_confusion(best_test_confusion)
**************************************** Training Starts ****************************************
------------------------------ Epoch 001 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.635307 - Iter 024 / 025, Loss: 0.545660 * Train accuracy / confusion: 60.88% / [[166, 184], [129, 321]], * Val accuracy / confusion: 56.35% / [[5, 225], [2, 288]] ------------------------------ Epoch 002 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.598025 - Iter 024 / 025, Loss: 0.625390 * Train accuracy / confusion: 63.88% / [[193, 159], [130, 318]], * Val accuracy / confusion: 64.81% / [[185, 45], [138, 152]] ------------------------------ Epoch 003 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.615729 - Iter 024 / 025, Loss: 0.446697 * Train accuracy / confusion: 67.00% / [[188, 163], [101, 348]], * Val accuracy / confusion: 65.77% / [[74, 156], [22, 268]] ------------------------------ Epoch 004 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.499934 - Iter 024 / 025, Loss: 0.395270 * Train accuracy / confusion: 66.88% / [[206, 151], [114, 329]], * Val accuracy / confusion: 64.23% / [[62, 168], [18, 272]] ------------------------------ Epoch 005 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.770893 - Iter 024 / 025, Loss: 0.595334 * Train accuracy / confusion: 66.50% / [[192, 161], [107, 340]], * Val accuracy / confusion: 72.12% / [[153, 77], [68, 222]] ------------------------------ Epoch 006 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.656105 - Iter 024 / 025, Loss: 0.523004 * Train accuracy / confusion: 69.00% / [[217, 141], [107, 335]], * Val accuracy / confusion: 72.69% / [[159, 71], [71, 219]] ------------------------------ Epoch 007 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.645615 - Iter 024 / 025, Loss: 0.386769 * Train accuracy / confusion: 70.62% / [[232, 125], [110, 333]], * Val accuracy / confusion: 70.58% / [[117, 113], [40, 250]] ------------------------------ Epoch 008 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.587221 - Iter 024 / 025, Loss: 0.495223 * Train accuracy / confusion: 68.88% / [[219, 137], [112, 332]], * Val accuracy / confusion: 71.92% / [[171, 59], [87, 203]] ------------------------------ Epoch 009 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.675945 - Iter 024 / 025, Loss: 0.561914 * Train accuracy / confusion: 71.12% / [[236, 116], [115, 333]], * Val accuracy / confusion: 73.46% / [[145, 85], [53, 237]] ------------------------------ Epoch 010 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.638837 - Iter 024 / 025, Loss: 0.601490 * Train accuracy / confusion: 71.00% / [[227, 125], [107, 341]], * Val accuracy / confusion: 68.85% / [[95, 135], [27, 263]] ------------------------------ Epoch 011 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.538973 - Iter 024 / 025, Loss: 0.560006 * Train accuracy / confusion: 72.00% / [[219, 140], [84, 357]], * Val accuracy / confusion: 71.73% / [[170, 60], [87, 203]] ------------------------------ Epoch 012 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.475916 - Iter 024 / 025, Loss: 0.668958 * Train accuracy / confusion: 70.50% / [[231, 124], [112, 333]], * Val accuracy / confusion: 75.00% / [[160, 70], [60, 230]] ------------------------------ Epoch 013 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.405778 - Iter 024 / 025, Loss: 0.522562 * Train accuracy / confusion: 72.38% / [[209, 144], [77, 370]], * Val accuracy / confusion: 72.69% / [[154, 76], [66, 224]] ------------------------------ Epoch 014 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.490699 - Iter 024 / 025, Loss: 0.620355 * Train accuracy / confusion: 72.00% / [[217, 139], [85, 359]], * Val accuracy / confusion: 72.12% / [[155, 75], [70, 220]] ------------------------------ Epoch 015 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.580284 - Iter 024 / 025, Loss: 0.483805 * Train accuracy / confusion: 71.12% / [[226, 130], [101, 343]], * Val accuracy / confusion: 70.19% / [[102, 128], [27, 263]] ------------------------------ Epoch 016 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.530572 - Iter 024 / 025, Loss: 0.504406 * Train accuracy / confusion: 71.75% / [[227, 131], [95, 347]], * Val accuracy / confusion: 71.73% / [[128, 102], [45, 245]] ------------------------------ Epoch 017 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.442891 - Iter 024 / 025, Loss: 0.778906 * Train accuracy / confusion: 71.62% / [[218, 138], [89, 355]], * Val accuracy / confusion: 68.08% / [[116, 114], [52, 238]] ------------------------------ Epoch 018 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.511452 - Iter 024 / 025, Loss: 0.537335 * Train accuracy / confusion: 73.62% / [[236, 119], [92, 353]], * Val accuracy / confusion: 67.50% / [[106, 124], [45, 245]] ------------------------------ Epoch 019 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.491126 - Iter 024 / 025, Loss: 0.428570 * Train accuracy / confusion: 74.75% / [[244, 113], [89, 354]], * Val accuracy / confusion: 74.04% / [[159, 71], [64, 226]] ------------------------------ Epoch 020 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.585395 - Iter 024 / 025, Loss: 0.571922 * Train accuracy / confusion: 72.12% / [[225, 133], [90, 352]], * Val accuracy / confusion: 72.12% / [[128, 102], [43, 247]] ------------------------------ Epoch 021 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.522491 - Iter 024 / 025, Loss: 0.461649 * Train accuracy / confusion: 71.75% / [[229, 123], [103, 345]], * Val accuracy / confusion: 71.92% / [[140, 90], [56, 234]] ------------------------------ Epoch 022 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.492028 - Iter 024 / 025, Loss: 0.626595 * Train accuracy / confusion: 71.12% / [[213, 143], [88, 356]], * Val accuracy / confusion: 71.92% / [[116, 114], [32, 258]] ------------------------------ Epoch 023 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.588632 - Iter 024 / 025, Loss: 0.634321 * Train accuracy / confusion: 72.38% / [[229, 127], [94, 350]], * Val accuracy / confusion: 72.31% / [[123, 107], [37, 253]] ------------------------------ Epoch 024 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.555048 - Iter 024 / 025, Loss: 0.585375 * Train accuracy / confusion: 73.00% / [[221, 133], [83, 363]], * Val accuracy / confusion: 72.50% / [[142, 88], [55, 235]] ------------------------------ Epoch 025 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.502240 - Iter 024 / 025, Loss: 0.608486 * Train accuracy / confusion: 74.88% / [[235, 124], [77, 364]], * Val accuracy / confusion: 71.92% / [[137, 93], [53, 237]] ------------------------------ Epoch 026 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.505636 - Iter 024 / 025, Loss: 0.604604 * Train accuracy / confusion: 72.12% / [[218, 138], [85, 359]], * Val accuracy / confusion: 72.88% / [[141, 89], [52, 238]] ------------------------------ Epoch 027 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.532757 - Iter 024 / 025, Loss: 0.655379 * Train accuracy / confusion: 73.75% / [[223, 131], [79, 367]], * Val accuracy / confusion: 72.69% / [[143, 87], [55, 235]] ------------------------------ Epoch 028 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.542824 - Iter 024 / 025, Loss: 0.419367 * Train accuracy / confusion: 74.12% / [[231, 124], [83, 362]], * Val accuracy / confusion: 69.04% / [[93, 137], [24, 266]] ------------------------------ Epoch 029 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.616473 - Iter 024 / 025, Loss: 0.689271 * Train accuracy / confusion: 71.12% / [[230, 127], [104, 339]], * Val accuracy / confusion: 73.85% / [[156, 74], [62, 228]] ------------------------------ Epoch 030 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.429878 - Iter 024 / 025, Loss: 0.553707 * Train accuracy / confusion: 73.50% / [[236, 121], [91, 352]], * Val accuracy / confusion: 73.85% / [[180, 50], [86, 204]] ------------------------------ Epoch 031 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.468223 - Iter 024 / 025, Loss: 0.384459 * Train accuracy / confusion: 74.38% / [[252, 105], [100, 343]], * Val accuracy / confusion: 70.38% / [[172, 58], [96, 194]] ------------------------------ Epoch 032 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.539315 - Iter 024 / 025, Loss: 0.599091 * Train accuracy / confusion: 72.00% / [[230, 129], [95, 346]], * Val accuracy / confusion: 74.04% / [[164, 66], [69, 221]] ------------------------------ Epoch 033 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.565916 - Iter 024 / 025, Loss: 0.516768 * Train accuracy / confusion: 73.00% / [[244, 115], [101, 340]], * Val accuracy / confusion: 70.96% / [[113, 117], [34, 256]] ------------------------------ Epoch 034 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.630812 - Iter 024 / 025, Loss: 0.502057 * Train accuracy / confusion: 72.50% / [[223, 135], [85, 357]], * Val accuracy / confusion: 75.38% / [[153, 77], [51, 239]] ------------------------------ Epoch 035 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.552600 - Iter 024 / 025, Loss: 0.463752 * Train accuracy / confusion: 75.62% / [[236, 122], [73, 369]], * Val accuracy / confusion: 72.12% / [[105, 125], [20, 270]] ------------------------------ Epoch 036 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.536434 - Iter 024 / 025, Loss: 0.538284 * Train accuracy / confusion: 74.25% / [[225, 129], [77, 369]], * Val accuracy / confusion: 74.62% / [[152, 78], [54, 236]] ------------------------------ Epoch 037 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.417588 - Iter 024 / 025, Loss: 0.681722 * Train accuracy / confusion: 73.62% / [[237, 118], [93, 352]], * Val accuracy / confusion: 75.77% / [[144, 86], [40, 250]] ------------------------------ Epoch 038 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.666140 - Iter 024 / 025, Loss: 0.435170 * Train accuracy / confusion: 72.00% / [[216, 144], [80, 360]], * Val accuracy / confusion: 72.12% / [[118, 112], [33, 257]] ------------------------------ Epoch 039 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.531104 - Iter 024 / 025, Loss: 0.611874 * Train accuracy / confusion: 74.50% / [[236, 121], [83, 360]], * Val accuracy / confusion: 67.31% / [[88, 142], [28, 262]] ------------------------------ Epoch 040 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.522652 - Iter 024 / 025, Loss: 0.665120 * Train accuracy / confusion: 73.88% / [[248, 111], [98, 343]], * Val accuracy / confusion: 70.00% / [[126, 104], [52, 238]] ------------------------------ Epoch 041 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.572764 - Iter 024 / 025, Loss: 0.515827 * Train accuracy / confusion: 72.50% / [[215, 137], [83, 365]], * Val accuracy / confusion: 74.23% / [[161, 69], [65, 225]] ------------------------------ Epoch 042 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.486671 - Iter 024 / 025, Loss: 0.541009 * Train accuracy / confusion: 73.50% / [[227, 133], [79, 361]], * Val accuracy / confusion: 72.69% / [[156, 74], [68, 222]] ------------------------------ Epoch 043 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.520194 - Iter 024 / 025, Loss: 0.547590 * Train accuracy / confusion: 74.12% / [[242, 115], [92, 351]], * Val accuracy / confusion: 75.38% / [[153, 77], [51, 239]] ------------------------------ Epoch 044 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.587530 - Iter 024 / 025, Loss: 0.431146 * Train accuracy / confusion: 75.62% / [[238, 116], [79, 367]], * Val accuracy / confusion: 74.42% / [[150, 80], [53, 237]] ------------------------------ Epoch 045 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.545340 - Iter 024 / 025, Loss: 0.558361 * Train accuracy / confusion: 71.25% / [[219, 135], [95, 351]], * Val accuracy / confusion: 74.62% / [[147, 83], [49, 241]] ------------------------------ Epoch 046 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.562736 - Iter 024 / 025, Loss: 0.593282 * Train accuracy / confusion: 72.88% / [[228, 130], [87, 355]], * Val accuracy / confusion: 73.85% / [[140, 90], [46, 244]] ------------------------------ Epoch 047 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.624452 - Iter 024 / 025, Loss: 0.546690 * Train accuracy / confusion: 73.25% / [[226, 128], [86, 360]], * Val accuracy / confusion: 71.92% / [[158, 72], [74, 216]] ------------------------------ Epoch 048 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.457758 - Iter 024 / 025, Loss: 0.528866 * Train accuracy / confusion: 73.25% / [[220, 131], [83, 366]], * Val accuracy / confusion: 71.35% / [[134, 96], [53, 237]] ------------------------------ Epoch 049 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.473740 - Iter 024 / 025, Loss: 0.526016 * Train accuracy / confusion: 72.88% / [[209, 146], [71, 374]], * Val accuracy / confusion: 72.50% / [[132, 98], [45, 245]] ------------------------------ Epoch 050 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.547450 - Iter 024 / 025, Loss: 0.580080 * Train accuracy / confusion: 73.62% / [[254, 106], [105, 335]], * Val accuracy / confusion: 73.08% / [[152, 78], [62, 228]] ------------------------------ Epoch 051 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.443803 - Iter 024 / 025, Loss: 0.528295 * Train accuracy / confusion: 73.50% / [[217, 136], [76, 371]], * Val accuracy / confusion: 73.27% / [[138, 92], [47, 243]] ------------------------------ Epoch 052 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.605649 - Iter 024 / 025, Loss: 0.526169 * Train accuracy / confusion: 74.00% / [[252, 103], [105, 340]], * Val accuracy / confusion: 74.81% / [[154, 76], [55, 235]] ------------------------------ Epoch 053 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.731795 - Iter 024 / 025, Loss: 0.563490 * Train accuracy / confusion: 74.88% / [[224, 131], [70, 375]], * Val accuracy / confusion: 71.15% / [[181, 49], [101, 189]] ------------------------------ Epoch 054 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.416832 - Iter 024 / 025, Loss: 0.740131 * Train accuracy / confusion: 73.00% / [[238, 122], [94, 346]], * Val accuracy / confusion: 73.08% / [[142, 88], [52, 238]] ------------------------------ Epoch 055 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.430323 - Iter 024 / 025, Loss: 0.458606 * Train accuracy / confusion: 76.38% / [[244, 112], [77, 367]], * Val accuracy / confusion: 71.54% / [[148, 82], [66, 224]] ------------------------------ Epoch 056 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.546854 - Iter 024 / 025, Loss: 0.429678 * Train accuracy / confusion: 74.75% / [[242, 111], [91, 356]], * Val accuracy / confusion: 72.31% / [[144, 86], [58, 232]] ------------------------------ Epoch 057 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.479946 - Iter 024 / 025, Loss: 0.510658 * Train accuracy / confusion: 75.25% / [[237, 120], [78, 365]], * Val accuracy / confusion: 75.19% / [[158, 72], [57, 233]] ------------------------------ Epoch 058 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.760304 - Iter 024 / 025, Loss: 0.490643 * Train accuracy / confusion: 75.38% / [[248, 111], [86, 355]], * Val accuracy / confusion: 69.62% / [[112, 118], [40, 250]] ------------------------------ Epoch 059 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.502182 - Iter 024 / 025, Loss: 0.503936 * Train accuracy / confusion: 74.25% / [[225, 130], [76, 369]], * Val accuracy / confusion: 72.50% / [[151, 79], [64, 226]] ------------------------------ Epoch 060 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.463028 - Iter 024 / 025, Loss: 0.665835 * Train accuracy / confusion: 75.00% / [[244, 115], [85, 356]], * Val accuracy / confusion: 73.27% / [[160, 70], [69, 221]] ------------------------------ Epoch 061 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.645542 - Iter 024 / 025, Loss: 0.534525 * Train accuracy / confusion: 76.75% / [[246, 107], [79, 368]], * Val accuracy / confusion: 72.31% / [[132, 98], [46, 244]] ------------------------------ Epoch 062 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.493602 - Iter 024 / 025, Loss: 0.447033 * Train accuracy / confusion: 75.00% / [[241, 115], [85, 359]], * Val accuracy / confusion: 71.73% / [[119, 111], [36, 254]] ------------------------------ Epoch 063 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.541725 - Iter 024 / 025, Loss: 0.347808 * Train accuracy / confusion: 74.38% / [[234, 121], [84, 361]], * Val accuracy / confusion: 73.08% / [[140, 90], [50, 240]] ------------------------------ Epoch 064 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.511217 - Iter 024 / 025, Loss: 0.605400 * Train accuracy / confusion: 74.50% / [[243, 115], [89, 353]], * Val accuracy / confusion: 76.15% / [[171, 59], [65, 225]] ------------------------------ Epoch 065 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.557855 - Iter 024 / 025, Loss: 0.669373 * Train accuracy / confusion: 75.50% / [[242, 116], [80, 362]], * Val accuracy / confusion: 69.81% / [[118, 112], [45, 245]] ------------------------------ Epoch 066 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.453172 - Iter 024 / 025, Loss: 0.535203 * Train accuracy / confusion: 75.50% / [[247, 110], [86, 357]], * Val accuracy / confusion: 69.23% / [[117, 113], [47, 243]] ------------------------------ Epoch 067 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.554987 - Iter 024 / 025, Loss: 0.505203 * Train accuracy / confusion: 76.12% / [[244, 115], [76, 365]], * Val accuracy / confusion: 74.23% / [[152, 78], [56, 234]] ------------------------------ Epoch 068 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.556912 - Iter 024 / 025, Loss: 0.521019 * Train accuracy / confusion: 75.38% / [[250, 106], [91, 353]], * Val accuracy / confusion: 75.00% / [[146, 84], [46, 244]] ------------------------------ Epoch 069 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.607035 - Iter 024 / 025, Loss: 0.467013 * Train accuracy / confusion: 75.50% / [[253, 106], [90, 351]], * Val accuracy / confusion: 73.27% / [[134, 96], [43, 247]] ------------------------------ Epoch 070 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.424144 - Iter 024 / 025, Loss: 0.488078 * Train accuracy / confusion: 74.25% / [[251, 113], [93, 343]], * Val accuracy / confusion: 72.50% / [[142, 88], [55, 235]] ------------------------------ Epoch 071 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.660617 - Iter 024 / 025, Loss: 0.507442 * Train accuracy / confusion: 73.50% / [[234, 123], [89, 354]], * Val accuracy / confusion: 72.12% / [[161, 69], [76, 214]] ------------------------------ Epoch 072 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.423221 - Iter 024 / 025, Loss: 0.554498 * Train accuracy / confusion: 73.50% / [[235, 119], [93, 353]], * Val accuracy / confusion: 72.50% / [[159, 71], [72, 218]] ------------------------------ Epoch 073 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.532456 - Iter 024 / 025, Loss: 0.618559 * Train accuracy / confusion: 74.62% / [[229, 125], [78, 368]], * Val accuracy / confusion: 73.85% / [[174, 56], [80, 210]] ------------------------------ Epoch 074 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.456382 - Iter 024 / 025, Loss: 0.518907 * Train accuracy / confusion: 74.38% / [[248, 111], [94, 347]], * Val accuracy / confusion: 72.50% / [[127, 103], [40, 250]] ------------------------------ Epoch 075 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.557686 - Iter 024 / 025, Loss: 0.474140 * Train accuracy / confusion: 73.62% / [[228, 126], [85, 361]], * Val accuracy / confusion: 72.12% / [[123, 107], [38, 252]] ------------------------------ Epoch 076 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.576305 - Iter 024 / 025, Loss: 0.594388 * Train accuracy / confusion: 75.62% / [[234, 122], [73, 371]], * Val accuracy / confusion: 72.88% / [[153, 77], [64, 226]] ------------------------------ Epoch 077 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.470481 - Iter 024 / 025, Loss: 0.462308 * Train accuracy / confusion: 74.38% / [[248, 109], [96, 347]], * Val accuracy / confusion: 74.62% / [[153, 77], [55, 235]] ------------------------------ Epoch 078 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.434171 - Iter 024 / 025, Loss: 0.750317 * Train accuracy / confusion: 72.88% / [[218, 138], [79, 365]], * Val accuracy / confusion: 71.35% / [[123, 107], [42, 248]] ------------------------------ Epoch 079 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.492291 - Iter 024 / 025, Loss: 0.503930 * Train accuracy / confusion: 75.50% / [[245, 111], [85, 359]], * Val accuracy / confusion: 70.38% / [[124, 106], [48, 242]] ------------------------------ Epoch 080 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.623787 - Iter 024 / 025, Loss: 0.652953 * Train accuracy / confusion: 75.12% / [[245, 108], [91, 356]], * Val accuracy / confusion: 72.50% / [[122, 108], [35, 255]] ------------------------------ Epoch 081 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.700180 - Iter 024 / 025, Loss: 0.544425 * Train accuracy / confusion: 75.88% / [[249, 108], [85, 358]], * Val accuracy / confusion: 73.27% / [[145, 85], [54, 236]] ------------------------------ Epoch 082 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.547412 - Iter 024 / 025, Loss: 0.513224 * Train accuracy / confusion: 75.12% / [[236, 117], [82, 365]], * Val accuracy / confusion: 70.38% / [[167, 63], [91, 199]] ------------------------------ Epoch 083 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.566009 - Iter 024 / 025, Loss: 0.434519 * Train accuracy / confusion: 76.00% / [[250, 109], [83, 358]], * Val accuracy / confusion: 74.04% / [[144, 86], [49, 241]] ------------------------------ Epoch 084 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.590656 - Iter 024 / 025, Loss: 0.592654 * Train accuracy / confusion: 73.12% / [[246, 111], [104, 339]], * Val accuracy / confusion: 72.12% / [[146, 84], [61, 229]] ------------------------------ Epoch 085 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.438104 - Iter 024 / 025, Loss: 0.374369 * Train accuracy / confusion: 75.88% / [[256, 104], [89, 351]], * Val accuracy / confusion: 74.81% / [[168, 62], [69, 221]] ------------------------------ Epoch 086 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.381750 - Iter 024 / 025, Loss: 0.504375 * Train accuracy / confusion: 75.12% / [[241, 119], [80, 360]], * Val accuracy / confusion: 71.92% / [[133, 97], [49, 241]] ------------------------------ Epoch 087 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.690755 - Iter 024 / 025, Loss: 0.559654 * Train accuracy / confusion: 75.50% / [[251, 105], [91, 353]], * Val accuracy / confusion: 70.38% / [[117, 113], [41, 249]] ------------------------------ Epoch 088 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.524504 - Iter 024 / 025, Loss: 0.478171 * Train accuracy / confusion: 77.00% / [[247, 110], [74, 369]], * Val accuracy / confusion: 73.46% / [[144, 86], [52, 238]] ------------------------------ Epoch 089 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.380243 - Iter 024 / 025, Loss: 0.507756 * Train accuracy / confusion: 75.88% / [[261, 100], [93, 346]], * Val accuracy / confusion: 72.69% / [[157, 73], [69, 221]] ------------------------------ Epoch 090 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.468566 - Iter 024 / 025, Loss: 0.465293 * Train accuracy / confusion: 74.25% / [[223, 132], [74, 371]], * Val accuracy / confusion: 69.23% / [[119, 111], [49, 241]] ------------------------------ Epoch 091 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.470057 - Iter 024 / 025, Loss: 0.499976 * Train accuracy / confusion: 73.75% / [[241, 119], [91, 349]], * Val accuracy / confusion: 72.69% / [[160, 70], [72, 218]] ------------------------------ Epoch 092 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.511365 - Iter 024 / 025, Loss: 0.454378 * Train accuracy / confusion: 76.12% / [[252, 109], [82, 357]], * Val accuracy / confusion: 72.12% / [[128, 102], [43, 247]] ------------------------------ Epoch 093 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.651954 - Iter 024 / 025, Loss: 0.764974 * Train accuracy / confusion: 74.00% / [[237, 117], [91, 355]], * Val accuracy / confusion: 71.92% / [[125, 105], [41, 249]] ------------------------------ Epoch 094 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.406104 - Iter 024 / 025, Loss: 0.318883 * Train accuracy / confusion: 77.50% / [[253, 98], [82, 367]], * Val accuracy / confusion: 74.62% / [[144, 86], [46, 244]] ------------------------------ Epoch 095 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.484217 - Iter 024 / 025, Loss: 0.513085 * Train accuracy / confusion: 76.50% / [[236, 117], [71, 376]], * Val accuracy / confusion: 69.42% / [[176, 54], [105, 185]] ------------------------------ Epoch 096 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.707081 - Iter 024 / 025, Loss: 0.462327 * Train accuracy / confusion: 73.25% / [[227, 127], [87, 359]], * Val accuracy / confusion: 69.81% / [[116, 114], [43, 247]] ------------------------------ Epoch 097 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.370889 - Iter 024 / 025, Loss: 0.443185 * Train accuracy / confusion: 77.75% / [[257, 101], [77, 365]], * Val accuracy / confusion: 69.62% / [[113, 117], [41, 249]] ------------------------------ Epoch 098 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.347419 - Iter 024 / 025, Loss: 0.610705 * Train accuracy / confusion: 75.75% / [[238, 117], [77, 368]], * Val accuracy / confusion: 70.77% / [[169, 61], [91, 199]] ------------------------------ Epoch 099 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.515744 - Iter 024 / 025, Loss: 0.525612 * Train accuracy / confusion: 77.75% / [[243, 112], [66, 379]], * Val accuracy / confusion: 71.73% / [[129, 101], [46, 244]] ------------------------------ Epoch 100 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.668732 - Iter 024 / 025, Loss: 0.466152 * Train accuracy / confusion: 74.00% / [[241, 115], [93, 351]], * Val accuracy / confusion: 73.85% / [[136, 94], [42, 248]] ------------------------------ Epoch 101 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.639444 - Iter 024 / 025, Loss: 0.635806 * Train accuracy / confusion: 77.38% / [[251, 106], [75, 368]], * Val accuracy / confusion: 72.69% / [[151, 79], [63, 227]] ------------------------------ Epoch 102 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.448606 - Iter 024 / 025, Loss: 0.638544 * Train accuracy / confusion: 77.75% / [[252, 106], [72, 370]], * Val accuracy / confusion: 72.69% / [[134, 96], [46, 244]] ------------------------------ Epoch 103 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.451060 - Iter 024 / 025, Loss: 0.599915 * Train accuracy / confusion: 77.88% / [[258, 95], [82, 365]], * Val accuracy / confusion: 72.12% / [[178, 52], [93, 197]] ------------------------------ Epoch 104 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.594596 - Iter 024 / 025, Loss: 0.881854 * Train accuracy / confusion: 74.88% / [[240, 121], [80, 359]], * Val accuracy / confusion: 71.15% / [[140, 90], [60, 230]] ------------------------------ Epoch 105 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.757657 - Iter 024 / 025, Loss: 0.578806 * Train accuracy / confusion: 76.38% / [[262, 99], [90, 349]], * Val accuracy / confusion: 73.85% / [[142, 88], [48, 242]] ------------------------------ Epoch 106 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.638866 - Iter 024 / 025, Loss: 0.487406 * Train accuracy / confusion: 74.88% / [[251, 105], [96, 348]], * Val accuracy / confusion: 72.88% / [[137, 93], [48, 242]] ------------------------------ Epoch 107 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.385823 - Iter 024 / 025, Loss: 0.885560 * Train accuracy / confusion: 74.50% / [[243, 113], [91, 353]], * Val accuracy / confusion: 74.04% / [[154, 76], [59, 231]] ------------------------------ Epoch 108 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.624702 - Iter 024 / 025, Loss: 0.577274 * Train accuracy / confusion: 76.12% / [[249, 106], [85, 360]], * Val accuracy / confusion: 72.88% / [[173, 57], [84, 206]] ------------------------------ Epoch 109 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.495556 - Iter 024 / 025, Loss: 0.351959 * Train accuracy / confusion: 76.62% / [[250, 104], [83, 363]], * Val accuracy / confusion: 72.50% / [[132, 98], [45, 245]] ------------------------------ Epoch 110 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.464078 - Iter 024 / 025, Loss: 0.465666 * Train accuracy / confusion: 75.38% / [[252, 109], [88, 351]], * Val accuracy / confusion: 72.69% / [[147, 83], [59, 231]] ------------------------------ Epoch 111 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.411749 - Iter 024 / 025, Loss: 0.476082 * Train accuracy / confusion: 77.50% / [[264, 99], [81, 356]], * Val accuracy / confusion: 70.96% / [[120, 110], [41, 249]] ------------------------------ Epoch 112 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.424475 - Iter 024 / 025, Loss: 0.778651 * Train accuracy / confusion: 76.25% / [[236, 119], [71, 374]], * Val accuracy / confusion: 72.12% / [[143, 87], [58, 232]] ------------------------------ Epoch 113 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.419707 - Iter 024 / 025, Loss: 0.666830 * Train accuracy / confusion: 77.12% / [[278, 77], [106, 339]], * Val accuracy / confusion: 72.50% / [[147, 83], [60, 230]] ------------------------------ Epoch 114 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.589922 - Iter 024 / 025, Loss: 0.628419 * Train accuracy / confusion: 74.38% / [[247, 112], [93, 348]], * Val accuracy / confusion: 73.65% / [[166, 64], [73, 217]] ------------------------------ Epoch 115 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.388688 - Iter 024 / 025, Loss: 0.461505 * Train accuracy / confusion: 78.62% / [[263, 95], [76, 366]], * Val accuracy / confusion: 71.54% / [[140, 90], [58, 232]] ------------------------------ Epoch 116 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.351824 - Iter 024 / 025, Loss: 0.488108 * Train accuracy / confusion: 76.88% / [[260, 97], [88, 355]], * Val accuracy / confusion: 69.62% / [[119, 111], [47, 243]] ------------------------------ Epoch 117 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.368587 - Iter 024 / 025, Loss: 0.444836 * Train accuracy / confusion: 77.25% / [[266, 91], [91, 352]], * Val accuracy / confusion: 71.92% / [[154, 76], [70, 220]] ------------------------------ Epoch 118 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.469282 - Iter 024 / 025, Loss: 0.339577 * Train accuracy / confusion: 77.50% / [[264, 92], [88, 356]], * Val accuracy / confusion: 69.42% / [[106, 124], [35, 255]] ------------------------------ Epoch 119 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.405099 - Iter 024 / 025, Loss: 0.540731 * Train accuracy / confusion: 76.12% / [[248, 107], [84, 361]], * Val accuracy / confusion: 71.35% / [[153, 77], [72, 218]] ------------------------------ Epoch 120 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.421424 - Iter 024 / 025, Loss: 0.599387 * Train accuracy / confusion: 75.75% / [[257, 101], [93, 349]], * Val accuracy / confusion: 70.19% / [[134, 96], [59, 231]] ------------------------------ Epoch 121 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.506297 - Iter 024 / 025, Loss: 0.466086 * Train accuracy / confusion: 76.00% / [[246, 116], [76, 362]], * Val accuracy / confusion: 72.69% / [[172, 58], [84, 206]] ------------------------------ Epoch 122 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.414737 - Iter 024 / 025, Loss: 0.496885 * Train accuracy / confusion: 77.25% / [[253, 102], [80, 365]], * Val accuracy / confusion: 72.31% / [[141, 89], [55, 235]] ------------------------------ Epoch 123 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.393011 - Iter 024 / 025, Loss: 0.677451 * Train accuracy / confusion: 76.12% / [[266, 94], [97, 343]], * Val accuracy / confusion: 71.54% / [[142, 88], [60, 230]] ------------------------------ Epoch 124 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.527776 - Iter 024 / 025, Loss: 0.464403 * Train accuracy / confusion: 75.62% / [[241, 115], [80, 364]], * Val accuracy / confusion: 70.00% / [[135, 95], [61, 229]] ------------------------------ Epoch 125 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.372978 - Iter 024 / 025, Loss: 0.392063 * Train accuracy / confusion: 76.62% / [[265, 96], [91, 348]], * Val accuracy / confusion: 70.77% / [[121, 109], [43, 247]] ------------------------------ Epoch 126 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.445833 - Iter 024 / 025, Loss: 0.744919 * Train accuracy / confusion: 76.25% / [[245, 111], [79, 365]], * Val accuracy / confusion: 72.88% / [[156, 74], [67, 223]] ------------------------------ Epoch 127 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.399297 - Iter 024 / 025, Loss: 0.553387 * Train accuracy / confusion: 75.62% / [[247, 110], [85, 358]], * Val accuracy / confusion: 73.27% / [[146, 84], [55, 235]] ------------------------------ Epoch 128 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.357100 - Iter 024 / 025, Loss: 0.545523 * Train accuracy / confusion: 77.88% / [[270, 91], [86, 353]], * Val accuracy / confusion: 71.35% / [[155, 75], [74, 216]] ------------------------------ Epoch 129 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.460414 - Iter 024 / 025, Loss: 0.374512 * Train accuracy / confusion: 78.25% / [[259, 96], [78, 367]], * Val accuracy / confusion: 74.23% / [[149, 81], [53, 237]] ------------------------------ Epoch 130 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.510601 - Iter 024 / 025, Loss: 0.546201 * Train accuracy / confusion: 77.62% / [[262, 93], [86, 359]], * Val accuracy / confusion: 70.00% / [[175, 55], [101, 189]] ------------------------------ Epoch 131 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.370531 - Iter 024 / 025, Loss: 0.411113 * Train accuracy / confusion: 75.62% / [[257, 99], [96, 348]], * Val accuracy / confusion: 74.62% / [[168, 62], [70, 220]] ------------------------------ Epoch 132 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.385723 - Iter 024 / 025, Loss: 0.503534 * Train accuracy / confusion: 75.62% / [[259, 101], [94, 346]], * Val accuracy / confusion: 72.50% / [[157, 73], [70, 220]] ------------------------------ Epoch 133 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.445601 - Iter 024 / 025, Loss: 0.513112 * Train accuracy / confusion: 75.75% / [[256, 100], [94, 350]], * Val accuracy / confusion: 70.19% / [[171, 59], [96, 194]] ------------------------------ Epoch 134 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.360886 - Iter 024 / 025, Loss: 0.482784 * Train accuracy / confusion: 78.62% / [[272, 87], [84, 357]], * Val accuracy / confusion: 68.27% / [[148, 82], [83, 207]] ------------------------------ Epoch 135 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.499590 - Iter 024 / 025, Loss: 0.495948 * Train accuracy / confusion: 77.00% / [[259, 100], [84, 357]], * Val accuracy / confusion: 69.81% / [[110, 120], [37, 253]] ------------------------------ Epoch 136 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.457837 - Iter 024 / 025, Loss: 0.656337 * Train accuracy / confusion: 74.75% / [[239, 119], [83, 359]], * Val accuracy / confusion: 75.96% / [[165, 65], [60, 230]] ------------------------------ Epoch 137 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.508782 - Iter 024 / 025, Loss: 0.347938 * Train accuracy / confusion: 77.25% / [[264, 94], [88, 354]], * Val accuracy / confusion: 71.15% / [[160, 70], [80, 210]] ------------------------------ Epoch 138 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.494695 - Iter 024 / 025, Loss: 0.435317 * Train accuracy / confusion: 75.12% / [[248, 104], [95, 353]], * Val accuracy / confusion: 72.31% / [[165, 65], [79, 211]] ------------------------------ Epoch 139 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.438063 - Iter 024 / 025, Loss: 0.603754 * Train accuracy / confusion: 76.00% / [[247, 105], [87, 361]], * Val accuracy / confusion: 67.31% / [[98, 132], [38, 252]] ------------------------------ Epoch 140 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.545659 - Iter 024 / 025, Loss: 0.587259 * Train accuracy / confusion: 75.50% / [[248, 109], [87, 356]], * Val accuracy / confusion: 71.73% / [[126, 104], [43, 247]] ------------------------------ Epoch 141 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.725215 - Iter 024 / 025, Loss: 0.485305 * Train accuracy / confusion: 77.00% / [[260, 93], [91, 356]], * Val accuracy / confusion: 72.12% / [[141, 89], [56, 234]] ------------------------------ Epoch 142 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.481419 - Iter 024 / 025, Loss: 0.485994 * Train accuracy / confusion: 77.00% / [[247, 106], [78, 369]], * Val accuracy / confusion: 68.85% / [[147, 83], [79, 211]] ------------------------------ Epoch 143 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.396709 - Iter 024 / 025, Loss: 0.470630 * Train accuracy / confusion: 76.38% / [[241, 108], [81, 370]], * Val accuracy / confusion: 71.73% / [[123, 107], [40, 250]] ------------------------------ Epoch 144 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.444122 - Iter 024 / 025, Loss: 0.590010 * Train accuracy / confusion: 78.88% / [[268, 90], [79, 363]], * Val accuracy / confusion: 72.12% / [[155, 75], [70, 220]] ------------------------------ Epoch 145 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.439447 - Iter 024 / 025, Loss: 0.343809 * Train accuracy / confusion: 75.38% / [[255, 101], [96, 348]], * Val accuracy / confusion: 74.62% / [[160, 70], [62, 228]] ------------------------------ Epoch 146 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.385844 - Iter 024 / 025, Loss: 0.575425 * Train accuracy / confusion: 77.50% / [[259, 97], [83, 361]], * Val accuracy / confusion: 73.46% / [[157, 73], [65, 225]] ------------------------------ Epoch 147 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.500685 - Iter 024 / 025, Loss: 0.541632 * Train accuracy / confusion: 76.88% / [[237, 120], [65, 378]], * Val accuracy / confusion: 70.96% / [[162, 68], [83, 207]] ------------------------------ Epoch 148 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.490676 - Iter 024 / 025, Loss: 0.347844 * Train accuracy / confusion: 77.50% / [[253, 102], [78, 367]], * Val accuracy / confusion: 70.77% / [[143, 87], [65, 225]] ------------------------------ Epoch 149 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.402823 - Iter 024 / 025, Loss: 0.534038 * Train accuracy / confusion: 76.25% / [[248, 110], [80, 362]], * Val accuracy / confusion: 67.12% / [[102, 128], [43, 247]] ------------------------------ Epoch 150 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.634627 - Iter 024 / 025, Loss: 0.553207 * Train accuracy / confusion: 78.25% / [[271, 84], [90, 355]], * Val accuracy / confusion: 68.08% / [[177, 53], [113, 177]] ------------------------------ Epoch 151 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.322625 - Iter 024 / 025, Loss: 0.585119 * Train accuracy / confusion: 75.88% / [[234, 120], [73, 373]], * Val accuracy / confusion: 69.23% / [[104, 126], [34, 256]] ------------------------------ Epoch 152 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.758457 - Iter 024 / 025, Loss: 0.432733 * Train accuracy / confusion: 77.25% / [[251, 104], [78, 367]], * Val accuracy / confusion: 70.58% / [[157, 73], [80, 210]] ------------------------------ Epoch 153 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.414849 - Iter 024 / 025, Loss: 0.472234 * Train accuracy / confusion: 78.50% / [[254, 102], [70, 374]], * Val accuracy / confusion: 67.88% / [[116, 114], [53, 237]] ------------------------------ Epoch 154 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.363681 - Iter 024 / 025, Loss: 0.494160 * Train accuracy / confusion: 76.50% / [[244, 116], [72, 368]], * Val accuracy / confusion: 72.50% / [[156, 74], [69, 221]] ------------------------------ Epoch 155 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.537027 - Iter 024 / 025, Loss: 0.627567 * Train accuracy / confusion: 77.12% / [[252, 103], [80, 365]], * Val accuracy / confusion: 69.23% / [[136, 94], [66, 224]] ------------------------------ Epoch 156 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.375143 - Iter 024 / 025, Loss: 0.435793 * Train accuracy / confusion: 79.00% / [[251, 101], [67, 381]], * Val accuracy / confusion: 70.00% / [[148, 82], [74, 216]] ------------------------------ Epoch 157 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.318623 - Iter 024 / 025, Loss: 0.600278 * Train accuracy / confusion: 77.38% / [[252, 107], [74, 367]], * Val accuracy / confusion: 70.19% / [[138, 92], [63, 227]] ------------------------------ Epoch 158 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.444297 - Iter 024 / 025, Loss: 0.452159 * Train accuracy / confusion: 76.75% / [[248, 103], [83, 366]], * Val accuracy / confusion: 68.65% / [[117, 113], [50, 240]] ------------------------------ Epoch 159 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.424950 - Iter 024 / 025, Loss: 0.443569 * Train accuracy / confusion: 77.38% / [[244, 114], [67, 375]], * Val accuracy / confusion: 70.38% / [[148, 82], [72, 218]] ------------------------------ Epoch 160 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.561690 - Iter 024 / 025, Loss: 0.477895 * Train accuracy / confusion: 77.62% / [[269, 87], [92, 352]], * Val accuracy / confusion: 70.58% / [[141, 89], [64, 226]] ------------------------------ Epoch 161 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.375154 - Iter 024 / 025, Loss: 0.453878 * Train accuracy / confusion: 76.12% / [[245, 110], [81, 364]], * Val accuracy / confusion: 70.19% / [[143, 87], [68, 222]] ------------------------------ Epoch 162 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.461910 - Iter 024 / 025, Loss: 0.450810 * Train accuracy / confusion: 78.38% / [[253, 103], [70, 374]], * Val accuracy / confusion: 70.00% / [[170, 60], [96, 194]] ------------------------------ Epoch 163 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.454648 - Iter 024 / 025, Loss: 0.392465 * Train accuracy / confusion: 78.62% / [[273, 83], [88, 356]], * Val accuracy / confusion: 67.88% / [[116, 114], [53, 237]] ------------------------------ Epoch 164 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.375861 - Iter 024 / 025, Loss: 0.450356 * Train accuracy / confusion: 76.75% / [[252, 103], [83, 362]], * Val accuracy / confusion: 71.54% / [[133, 97], [51, 239]] ------------------------------ Epoch 165 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.400467 - Iter 024 / 025, Loss: 0.620974 * Train accuracy / confusion: 79.38% / [[268, 87], [78, 367]], * Val accuracy / confusion: 73.08% / [[143, 87], [53, 237]] ------------------------------ Epoch 166 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.417295 - Iter 024 / 025, Loss: 0.343736 * Train accuracy / confusion: 77.50% / [[258, 99], [81, 362]], * Val accuracy / confusion: 71.35% / [[136, 94], [55, 235]] ------------------------------ Epoch 167 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.453034 - Iter 024 / 025, Loss: 0.502349 * Train accuracy / confusion: 76.88% / [[245, 112], [73, 370]], * Val accuracy / confusion: 69.42% / [[102, 128], [31, 259]] ------------------------------ Epoch 168 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.353408 - Iter 024 / 025, Loss: 0.511521 * Train accuracy / confusion: 78.62% / [[266, 90], [81, 363]], * Val accuracy / confusion: 72.31% / [[144, 86], [58, 232]] ------------------------------ Epoch 169 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.453624 - Iter 024 / 025, Loss: 0.397616 * Train accuracy / confusion: 77.62% / [[251, 107], [72, 370]], * Val accuracy / confusion: 70.77% / [[145, 85], [67, 223]] ------------------------------ Epoch 170 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.459894 - Iter 024 / 025, Loss: 0.380583 * Train accuracy / confusion: 76.25% / [[252, 102], [88, 358]], * Val accuracy / confusion: 71.15% / [[137, 93], [57, 233]] ------------------------------ Epoch 171 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.456006 - Iter 024 / 025, Loss: 0.650793 * Train accuracy / confusion: 79.12% / [[251, 109], [58, 382]], * Val accuracy / confusion: 70.38% / [[129, 101], [53, 237]] ------------------------------ Epoch 172 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.457216 - Iter 024 / 025, Loss: 0.374143 * Train accuracy / confusion: 79.12% / [[272, 88], [79, 361]], * Val accuracy / confusion: 70.38% / [[139, 91], [63, 227]] ------------------------------ Epoch 173 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.463273 - Iter 024 / 025, Loss: 0.438040 * Train accuracy / confusion: 77.75% / [[265, 87], [91, 357]], * Val accuracy / confusion: 72.31% / [[150, 80], [64, 226]] ------------------------------ Epoch 174 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.387421 - Iter 024 / 025, Loss: 0.350162 * Train accuracy / confusion: 80.12% / [[264, 90], [69, 377]], * Val accuracy / confusion: 71.15% / [[150, 80], [70, 220]] ------------------------------ Epoch 175 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.458873 - Iter 024 / 025, Loss: 0.658632 * Train accuracy / confusion: 76.38% / [[263, 94], [95, 348]], * Val accuracy / confusion: 70.00% / [[142, 88], [68, 222]] ------------------------------ Epoch 176 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.363552 - Iter 024 / 025, Loss: 0.479383 * Train accuracy / confusion: 78.25% / [[275, 85], [89, 351]], * Val accuracy / confusion: 67.12% / [[105, 125], [46, 244]] ------------------------------ Epoch 177 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.472392 - Iter 024 / 025, Loss: 0.534213 * Train accuracy / confusion: 78.50% / [[259, 93], [79, 369]], * Val accuracy / confusion: 70.96% / [[156, 74], [77, 213]] ------------------------------ Epoch 178 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.429956 - Iter 024 / 025, Loss: 0.499129 * Train accuracy / confusion: 78.50% / [[252, 103], [69, 376]], * Val accuracy / confusion: 66.54% / [[89, 141], [33, 257]] ------------------------------ Epoch 179 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.270070 - Iter 024 / 025, Loss: 0.418628 * Train accuracy / confusion: 80.38% / [[262, 92], [65, 381]], * Val accuracy / confusion: 68.46% / [[107, 123], [41, 249]] ------------------------------ Epoch 180 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.389774 - Iter 024 / 025, Loss: 0.597014 * Train accuracy / confusion: 79.00% / [[258, 101], [67, 374]], * Val accuracy / confusion: 71.15% / [[118, 112], [38, 252]] ------------------------------ Epoch 181 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.425181 - Iter 024 / 025, Loss: 0.594298 * Train accuracy / confusion: 79.12% / [[269, 86], [81, 364]], * Val accuracy / confusion: 70.58% / [[160, 70], [83, 207]] ------------------------------ Epoch 182 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.554406 - Iter 024 / 025, Loss: 0.376444 * Train accuracy / confusion: 77.62% / [[258, 102], [77, 363]], * Val accuracy / confusion: 70.96% / [[176, 54], [97, 193]] ------------------------------ Epoch 183 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.418218 - Iter 024 / 025, Loss: 0.382980 * Train accuracy / confusion: 77.50% / [[250, 107], [73, 370]], * Val accuracy / confusion: 67.88% / [[125, 105], [62, 228]] ------------------------------ Epoch 184 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.342852 - Iter 024 / 025, Loss: 0.384992 * Train accuracy / confusion: 78.00% / [[260, 93], [83, 364]], * Val accuracy / confusion: 70.00% / [[172, 58], [98, 192]] ------------------------------ Epoch 185 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.517096 - Iter 024 / 025, Loss: 0.291902 * Train accuracy / confusion: 76.88% / [[256, 101], [84, 359]], * Val accuracy / confusion: 70.96% / [[115, 115], [36, 254]] ------------------------------ Epoch 186 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.414973 - Iter 024 / 025, Loss: 0.471964 * Train accuracy / confusion: 78.00% / [[244, 103], [73, 380]], * Val accuracy / confusion: 71.54% / [[143, 87], [61, 229]] ------------------------------ Epoch 187 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.431960 - Iter 024 / 025, Loss: 0.405201 * Train accuracy / confusion: 77.00% / [[239, 118], [66, 377]], * Val accuracy / confusion: 70.58% / [[128, 102], [51, 239]] ------------------------------ Epoch 188 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.303130 - Iter 024 / 025, Loss: 0.657325 * Train accuracy / confusion: 78.00% / [[263, 91], [85, 361]], * Val accuracy / confusion: 71.73% / [[145, 85], [62, 228]] ------------------------------ Epoch 189 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.448888 - Iter 024 / 025, Loss: 0.399146 * Train accuracy / confusion: 77.25% / [[258, 97], [85, 360]], * Val accuracy / confusion: 70.96% / [[138, 92], [59, 231]] ------------------------------ Epoch 190 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.482440 - Iter 024 / 025, Loss: 0.568651 * Train accuracy / confusion: 79.25% / [[267, 90], [76, 367]], * Val accuracy / confusion: 71.35% / [[134, 96], [53, 237]] ------------------------------ Epoch 191 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.336544 - Iter 024 / 025, Loss: 0.482433 * Train accuracy / confusion: 79.25% / [[266, 93], [73, 368]], * Val accuracy / confusion: 70.58% / [[163, 67], [86, 204]] ------------------------------ Epoch 192 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.597052 - Iter 024 / 025, Loss: 0.463484 * Train accuracy / confusion: 78.00% / [[262, 96], [80, 362]], * Val accuracy / confusion: 71.92% / [[140, 90], [56, 234]] ------------------------------ Epoch 193 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.429290 - Iter 024 / 025, Loss: 0.378880 * Train accuracy / confusion: 81.50% / [[276, 81], [67, 376]], * Val accuracy / confusion: 73.46% / [[160, 70], [68, 222]] ------------------------------ Epoch 194 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.490395 - Iter 024 / 025, Loss: 0.653041 * Train accuracy / confusion: 77.25% / [[253, 102], [80, 365]], * Val accuracy / confusion: 70.19% / [[139, 91], [64, 226]] ------------------------------ Epoch 195 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.345768 - Iter 024 / 025, Loss: 0.469654 * Train accuracy / confusion: 78.50% / [[267, 88], [84, 361]], * Val accuracy / confusion: 67.50% / [[117, 113], [56, 234]] ------------------------------ Epoch 196 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.540495 - Iter 024 / 025, Loss: 0.606496 * Train accuracy / confusion: 78.38% / [[268, 88], [85, 359]], * Val accuracy / confusion: 73.85% / [[180, 50], [86, 204]] ------------------------------ Epoch 197 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.462319 - Iter 024 / 025, Loss: 0.632632 * Train accuracy / confusion: 78.88% / [[257, 97], [72, 374]], * Val accuracy / confusion: 72.50% / [[145, 85], [58, 232]] ------------------------------ Epoch 198 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.567888 - Iter 024 / 025, Loss: 0.516802 * Train accuracy / confusion: 76.38% / [[259, 102], [87, 352]], * Val accuracy / confusion: 71.92% / [[155, 75], [71, 219]] ------------------------------ Epoch 199 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.673456 - Iter 024 / 025, Loss: 0.493966 * Train accuracy / confusion: 78.38% / [[259, 100], [73, 368]], * Val accuracy / confusion: 68.27% / [[115, 115], [50, 240]] ------------------------------ Epoch 200 / 500, Learning rate: 1.00e-02 ------------------------------ - Iter 012 / 025, Loss: 0.691962 - Iter 024 / 025, Loss: 0.399592 * Train accuracy / confusion: 77.88% / [[268, 89], [88, 355]], * Val accuracy / confusion: 70.19% / [[152, 78], [77, 213]] ------------------------------ Epoch 201 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.385739 - Iter 024 / 025, Loss: 0.516220 * Train accuracy / confusion: 78.25% / [[263, 97], [77, 363]], * Val accuracy / confusion: 74.81% / [[160, 70], [61, 229]] ------------------------------ Epoch 202 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.517724 - Iter 024 / 025, Loss: 0.398612 * Train accuracy / confusion: 79.00% / [[263, 90], [78, 369]], * Val accuracy / confusion: 71.15% / [[148, 82], [68, 222]] ------------------------------ Epoch 203 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.440979 - Iter 024 / 025, Loss: 0.556168 * Train accuracy / confusion: 79.88% / [[265, 90], [71, 374]], * Val accuracy / confusion: 70.19% / [[131, 99], [56, 234]] ------------------------------ Epoch 204 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.459293 - Iter 024 / 025, Loss: 0.486915 * Train accuracy / confusion: 77.75% / [[261, 95], [83, 361]], * Val accuracy / confusion: 70.77% / [[136, 94], [58, 232]] ------------------------------ Epoch 205 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.397273 - Iter 024 / 025, Loss: 0.477574 * Train accuracy / confusion: 76.62% / [[252, 106], [81, 361]], * Val accuracy / confusion: 69.04% / [[140, 90], [71, 219]] ------------------------------ Epoch 206 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.549749 - Iter 024 / 025, Loss: 0.258882 * Train accuracy / confusion: 78.88% / [[268, 87], [82, 363]], * Val accuracy / confusion: 69.04% / [[137, 93], [68, 222]] ------------------------------ Epoch 207 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.455987 - Iter 024 / 025, Loss: 0.713541 * Train accuracy / confusion: 79.50% / [[264, 93], [71, 372]], * Val accuracy / confusion: 69.81% / [[140, 90], [67, 223]] ------------------------------ Epoch 208 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.425178 - Iter 024 / 025, Loss: 0.376812 * Train accuracy / confusion: 79.12% / [[271, 87], [80, 362]], * Val accuracy / confusion: 71.35% / [[136, 94], [55, 235]] ------------------------------ Epoch 209 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.381374 - Iter 024 / 025, Loss: 0.340920 * Train accuracy / confusion: 78.12% / [[259, 95], [80, 366]], * Val accuracy / confusion: 70.96% / [[150, 80], [71, 219]] ------------------------------ Epoch 210 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.411524 - Iter 024 / 025, Loss: 0.408329 * Train accuracy / confusion: 80.62% / [[273, 79], [76, 372]], * Val accuracy / confusion: 71.92% / [[146, 84], [62, 228]] ------------------------------ Epoch 211 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.537592 - Iter 024 / 025, Loss: 0.412640 * Train accuracy / confusion: 77.50% / [[257, 99], [81, 363]], * Val accuracy / confusion: 72.31% / [[149, 81], [63, 227]] ------------------------------ Epoch 212 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.349069 - Iter 024 / 025, Loss: 0.483296 * Train accuracy / confusion: 80.25% / [[273, 83], [75, 369]], * Val accuracy / confusion: 71.54% / [[150, 80], [68, 222]] ------------------------------ Epoch 213 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.430941 - Iter 024 / 025, Loss: 0.275234 * Train accuracy / confusion: 79.50% / [[270, 85], [79, 366]], * Val accuracy / confusion: 70.96% / [[144, 86], [65, 225]] ------------------------------ Epoch 214 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.394250 - Iter 024 / 025, Loss: 0.390519 * Train accuracy / confusion: 78.12% / [[260, 100], [75, 365]], * Val accuracy / confusion: 69.81% / [[139, 91], [66, 224]] ------------------------------ Epoch 215 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.632334 - Iter 024 / 025, Loss: 0.540229 * Train accuracy / confusion: 79.50% / [[266, 85], [79, 370]], * Val accuracy / confusion: 70.58% / [[144, 86], [67, 223]] ------------------------------ Epoch 216 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.434275 - Iter 024 / 025, Loss: 0.548762 * Train accuracy / confusion: 80.12% / [[272, 88], [71, 369]], * Val accuracy / confusion: 71.15% / [[151, 79], [71, 219]] ------------------------------ Epoch 217 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.498294 - Iter 024 / 025, Loss: 0.347950 * Train accuracy / confusion: 80.50% / [[269, 83], [73, 375]], * Val accuracy / confusion: 71.73% / [[150, 80], [67, 223]] ------------------------------ Epoch 218 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.499617 - Iter 024 / 025, Loss: 0.608746 * Train accuracy / confusion: 77.50% / [[254, 99], [81, 366]], * Val accuracy / confusion: 68.46% / [[142, 88], [76, 214]] ------------------------------ Epoch 219 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.323143 - Iter 024 / 025, Loss: 0.446185 * Train accuracy / confusion: 78.12% / [[268, 92], [83, 357]], * Val accuracy / confusion: 71.35% / [[146, 84], [65, 225]] ------------------------------ Epoch 220 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.427901 - Iter 024 / 025, Loss: 0.444417 * Train accuracy / confusion: 79.12% / [[266, 87], [80, 367]], * Val accuracy / confusion: 69.42% / [[153, 77], [82, 208]] ------------------------------ Epoch 221 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.455033 - Iter 024 / 025, Loss: 0.517040 * Train accuracy / confusion: 78.50% / [[266, 88], [84, 362]], * Val accuracy / confusion: 71.15% / [[153, 77], [73, 217]] ------------------------------ Epoch 222 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.256699 - Iter 024 / 025, Loss: 0.340355 * Train accuracy / confusion: 80.38% / [[272, 87], [70, 371]], * Val accuracy / confusion: 71.92% / [[151, 79], [67, 223]] ------------------------------ Epoch 223 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.452587 - Iter 024 / 025, Loss: 0.348217 * Train accuracy / confusion: 79.62% / [[262, 93], [70, 375]], * Val accuracy / confusion: 69.81% / [[148, 82], [75, 215]] ------------------------------ Epoch 224 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.493861 - Iter 024 / 025, Loss: 0.503491 * Train accuracy / confusion: 78.38% / [[267, 88], [85, 360]], * Val accuracy / confusion: 71.73% / [[140, 90], [57, 233]] ------------------------------ Epoch 225 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.283864 - Iter 024 / 025, Loss: 0.433027 * Train accuracy / confusion: 79.12% / [[259, 96], [71, 374]], * Val accuracy / confusion: 72.50% / [[142, 88], [55, 235]] ------------------------------ Epoch 226 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.465833 - Iter 024 / 025, Loss: 0.520160 * Train accuracy / confusion: 79.25% / [[262, 92], [74, 372]], * Val accuracy / confusion: 69.42% / [[132, 98], [61, 229]] ------------------------------ Epoch 227 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.359627 - Iter 024 / 025, Loss: 0.338411 * Train accuracy / confusion: 78.62% / [[258, 96], [75, 371]], * Val accuracy / confusion: 70.38% / [[142, 88], [66, 224]] ------------------------------ Epoch 228 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.515417 - Iter 024 / 025, Loss: 0.513378 * Train accuracy / confusion: 78.00% / [[263, 93], [83, 361]], * Val accuracy / confusion: 70.58% / [[139, 91], [62, 228]] ------------------------------ Epoch 229 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.517439 - Iter 024 / 025, Loss: 0.298940 * Train accuracy / confusion: 80.88% / [[275, 87], [66, 372]], * Val accuracy / confusion: 69.81% / [[138, 92], [65, 225]] ------------------------------ Epoch 230 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.328852 - Iter 024 / 025, Loss: 0.637970 * Train accuracy / confusion: 78.38% / [[265, 91], [82, 362]], * Val accuracy / confusion: 71.92% / [[149, 81], [65, 225]] ------------------------------ Epoch 231 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.630209 - Iter 024 / 025, Loss: 0.453852 * Train accuracy / confusion: 80.38% / [[270, 87], [70, 373]], * Val accuracy / confusion: 72.88% / [[152, 78], [63, 227]] ------------------------------ Epoch 232 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.389542 - Iter 024 / 025, Loss: 0.584854 * Train accuracy / confusion: 79.88% / [[267, 87], [74, 372]], * Val accuracy / confusion: 71.73% / [[149, 81], [66, 224]] ------------------------------ Epoch 233 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.403827 - Iter 024 / 025, Loss: 0.431078 * Train accuracy / confusion: 78.50% / [[271, 90], [82, 357]], * Val accuracy / confusion: 71.15% / [[143, 87], [63, 227]] ------------------------------ Epoch 234 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.481201 - Iter 024 / 025, Loss: 0.447860 * Train accuracy / confusion: 78.50% / [[264, 92], [80, 364]], * Val accuracy / confusion: 69.81% / [[152, 78], [79, 211]] ------------------------------ Epoch 235 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.468911 - Iter 024 / 025, Loss: 0.447785 * Train accuracy / confusion: 79.25% / [[274, 89], [77, 360]], * Val accuracy / confusion: 71.15% / [[155, 75], [75, 215]] ------------------------------ Epoch 236 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.361893 - Iter 024 / 025, Loss: 0.569164 * Train accuracy / confusion: 80.00% / [[274, 86], [74, 366]], * Val accuracy / confusion: 70.58% / [[142, 88], [65, 225]] ------------------------------ Epoch 237 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.469793 - Iter 024 / 025, Loss: 0.376411 * Train accuracy / confusion: 78.62% / [[262, 94], [77, 367]], * Val accuracy / confusion: 71.92% / [[145, 85], [61, 229]] ------------------------------ Epoch 238 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.379330 - Iter 024 / 025, Loss: 0.349744 * Train accuracy / confusion: 80.88% / [[278, 80], [73, 369]], * Val accuracy / confusion: 69.42% / [[141, 89], [70, 220]] ------------------------------ Epoch 239 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.300196 - Iter 024 / 025, Loss: 0.406669 * Train accuracy / confusion: 79.62% / [[272, 87], [76, 365]], * Val accuracy / confusion: 70.77% / [[141, 89], [63, 227]] ------------------------------ Epoch 240 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.433213 - Iter 024 / 025, Loss: 0.442167 * Train accuracy / confusion: 78.50% / [[270, 87], [85, 358]], * Val accuracy / confusion: 72.88% / [[149, 81], [60, 230]] ------------------------------ Epoch 241 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.516004 - Iter 024 / 025, Loss: 0.488539 * Train accuracy / confusion: 79.62% / [[266, 95], [68, 371]], * Val accuracy / confusion: 70.00% / [[147, 83], [73, 217]] ------------------------------ Epoch 242 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.522929 - Iter 024 / 025, Loss: 0.279227 * Train accuracy / confusion: 80.25% / [[270, 90], [68, 372]], * Val accuracy / confusion: 71.15% / [[150, 80], [70, 220]] ------------------------------ Epoch 243 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.346815 - Iter 024 / 025, Loss: 0.282612 * Train accuracy / confusion: 80.88% / [[277, 82], [71, 370]], * Val accuracy / confusion: 70.96% / [[147, 83], [68, 222]] ------------------------------ Epoch 244 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.467951 - Iter 024 / 025, Loss: 0.332329 * Train accuracy / confusion: 80.62% / [[272, 81], [74, 373]], * Val accuracy / confusion: 70.38% / [[139, 91], [63, 227]] ------------------------------ Epoch 245 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.577146 - Iter 024 / 025, Loss: 0.370171 * Train accuracy / confusion: 79.38% / [[272, 83], [82, 363]], * Val accuracy / confusion: 71.92% / [[148, 82], [64, 226]] ------------------------------ Epoch 246 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.416851 - Iter 024 / 025, Loss: 0.432035 * Train accuracy / confusion: 80.88% / [[272, 84], [69, 375]], * Val accuracy / confusion: 72.31% / [[153, 77], [67, 223]] ------------------------------ Epoch 247 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.390158 - Iter 024 / 025, Loss: 0.323866 * Train accuracy / confusion: 78.50% / [[263, 91], [81, 365]], * Val accuracy / confusion: 70.96% / [[136, 94], [57, 233]] ------------------------------ Epoch 248 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.620893 - Iter 024 / 025, Loss: 0.351167 * Train accuracy / confusion: 80.50% / [[266, 87], [69, 378]], * Val accuracy / confusion: 71.54% / [[156, 74], [74, 216]] ------------------------------ Epoch 249 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.553541 - Iter 024 / 025, Loss: 0.408336 * Train accuracy / confusion: 80.62% / [[268, 90], [65, 377]], * Val accuracy / confusion: 70.96% / [[148, 82], [69, 221]] ------------------------------ Epoch 250 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.457935 - Iter 024 / 025, Loss: 0.472733 * Train accuracy / confusion: 78.62% / [[269, 90], [81, 360]], * Val accuracy / confusion: 71.73% / [[150, 80], [67, 223]] ------------------------------ Epoch 251 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.484861 - Iter 024 / 025, Loss: 0.373119 * Train accuracy / confusion: 79.50% / [[269, 88], [76, 367]], * Val accuracy / confusion: 71.15% / [[146, 84], [66, 224]] ------------------------------ Epoch 252 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.534063 - Iter 024 / 025, Loss: 0.358779 * Train accuracy / confusion: 80.88% / [[273, 85], [68, 374]], * Val accuracy / confusion: 71.35% / [[149, 81], [68, 222]] ------------------------------ Epoch 253 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.367927 - Iter 024 / 025, Loss: 0.388817 * Train accuracy / confusion: 79.88% / [[269, 90], [71, 370]], * Val accuracy / confusion: 72.12% / [[149, 81], [64, 226]] ------------------------------ Epoch 254 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.388149 - Iter 024 / 025, Loss: 0.478938 * Train accuracy / confusion: 80.38% / [[273, 85], [72, 370]], * Val accuracy / confusion: 71.73% / [[144, 86], [61, 229]] ------------------------------ Epoch 255 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.360062 - Iter 024 / 025, Loss: 0.292267 * Train accuracy / confusion: 79.25% / [[265, 92], [74, 369]], * Val accuracy / confusion: 70.96% / [[140, 90], [61, 229]] ------------------------------ Epoch 256 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.344591 - Iter 024 / 025, Loss: 0.461695 * Train accuracy / confusion: 81.25% / [[273, 82], [68, 377]], * Val accuracy / confusion: 70.96% / [[136, 94], [57, 233]] ------------------------------ Epoch 257 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.263211 - Iter 024 / 025, Loss: 0.581612 * Train accuracy / confusion: 80.38% / [[270, 89], [68, 373]], * Val accuracy / confusion: 73.65% / [[160, 70], [67, 223]] ------------------------------ Epoch 258 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.327878 - Iter 024 / 025, Loss: 0.407394 * Train accuracy / confusion: 80.38% / [[271, 84], [73, 372]], * Val accuracy / confusion: 71.35% / [[148, 82], [67, 223]] ------------------------------ Epoch 259 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.373978 - Iter 024 / 025, Loss: 0.448024 * Train accuracy / confusion: 81.50% / [[272, 85], [63, 380]], * Val accuracy / confusion: 71.15% / [[151, 79], [71, 219]] ------------------------------ Epoch 260 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.346312 - Iter 024 / 025, Loss: 0.445703 * Train accuracy / confusion: 78.88% / [[267, 90], [79, 364]], * Val accuracy / confusion: 70.96% / [[152, 78], [73, 217]] ------------------------------ Epoch 261 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.613828 - Iter 024 / 025, Loss: 0.512948 * Train accuracy / confusion: 79.25% / [[267, 94], [72, 367]], * Val accuracy / confusion: 71.73% / [[145, 85], [62, 228]] ------------------------------ Epoch 262 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.342007 - Iter 024 / 025, Loss: 0.523402 * Train accuracy / confusion: 78.38% / [[263, 95], [78, 364]], * Val accuracy / confusion: 71.15% / [[145, 85], [65, 225]] ------------------------------ Epoch 263 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.509344 - Iter 024 / 025, Loss: 0.344277 * Train accuracy / confusion: 80.38% / [[273, 81], [76, 370]], * Val accuracy / confusion: 72.12% / [[150, 80], [65, 225]] ------------------------------ Epoch 264 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.429301 - Iter 024 / 025, Loss: 0.534887 * Train accuracy / confusion: 79.75% / [[269, 89], [73, 369]], * Val accuracy / confusion: 72.12% / [[155, 75], [70, 220]] ------------------------------ Epoch 265 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.402121 - Iter 024 / 025, Loss: 0.400601 * Train accuracy / confusion: 81.75% / [[275, 79], [67, 379]], * Val accuracy / confusion: 71.15% / [[145, 85], [65, 225]] ------------------------------ Epoch 266 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.352616 - Iter 024 / 025, Loss: 0.416382 * Train accuracy / confusion: 79.88% / [[268, 84], [77, 371]], * Val accuracy / confusion: 74.42% / [[157, 73], [60, 230]] ------------------------------ Epoch 267 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.424501 - Iter 024 / 025, Loss: 0.517720 * Train accuracy / confusion: 79.12% / [[264, 89], [78, 369]], * Val accuracy / confusion: 70.38% / [[150, 80], [74, 216]] ------------------------------ Epoch 268 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.458615 - Iter 024 / 025, Loss: 0.443623 * Train accuracy / confusion: 80.75% / [[269, 85], [69, 377]], * Val accuracy / confusion: 70.58% / [[137, 93], [60, 230]] ------------------------------ Epoch 269 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.507155 - Iter 024 / 025, Loss: 0.413856 * Train accuracy / confusion: 80.25% / [[272, 85], [73, 370]], * Val accuracy / confusion: 71.73% / [[144, 86], [61, 229]] ------------------------------ Epoch 270 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.356949 - Iter 024 / 025, Loss: 0.438507 * Train accuracy / confusion: 79.75% / [[276, 80], [82, 362]], * Val accuracy / confusion: 70.58% / [[142, 88], [65, 225]] ------------------------------ Epoch 271 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.309929 - Iter 024 / 025, Loss: 0.445473 * Train accuracy / confusion: 80.62% / [[273, 89], [66, 372]], * Val accuracy / confusion: 70.77% / [[144, 86], [66, 224]] ------------------------------ Epoch 272 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.519278 - Iter 024 / 025, Loss: 0.331713 * Train accuracy / confusion: 80.00% / [[274, 82], [78, 366]], * Val accuracy / confusion: 72.31% / [[151, 79], [65, 225]] ------------------------------ Epoch 273 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.458928 - Iter 024 / 025, Loss: 0.367016 * Train accuracy / confusion: 80.88% / [[273, 82], [71, 374]], * Val accuracy / confusion: 72.31% / [[152, 78], [66, 224]] ------------------------------ Epoch 274 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.412488 - Iter 024 / 025, Loss: 0.674426 * Train accuracy / confusion: 77.88% / [[260, 101], [76, 363]], * Val accuracy / confusion: 75.19% / [[160, 70], [59, 231]] ------------------------------ Epoch 275 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.253812 - Iter 024 / 025, Loss: 0.367069 * Train accuracy / confusion: 83.12% / [[286, 71], [64, 379]], * Val accuracy / confusion: 69.81% / [[139, 91], [66, 224]] ------------------------------ Epoch 276 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.369733 - Iter 024 / 025, Loss: 0.390410 * Train accuracy / confusion: 80.50% / [[267, 81], [75, 377]], * Val accuracy / confusion: 70.19% / [[150, 80], [75, 215]] ------------------------------ Epoch 277 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.388322 - Iter 024 / 025, Loss: 0.357962 * Train accuracy / confusion: 80.25% / [[274, 87], [71, 368]], * Val accuracy / confusion: 69.62% / [[139, 91], [67, 223]] ------------------------------ Epoch 278 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.367423 - Iter 024 / 025, Loss: 0.605480 * Train accuracy / confusion: 79.75% / [[267, 83], [79, 371]], * Val accuracy / confusion: 71.92% / [[155, 75], [71, 219]] ------------------------------ Epoch 279 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.354835 - Iter 024 / 025, Loss: 0.478710 * Train accuracy / confusion: 81.50% / [[272, 79], [69, 380]], * Val accuracy / confusion: 71.15% / [[155, 75], [75, 215]] ------------------------------ Epoch 280 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.423903 - Iter 024 / 025, Loss: 0.570378 * Train accuracy / confusion: 80.88% / [[270, 85], [68, 377]], * Val accuracy / confusion: 68.85% / [[141, 89], [73, 217]] ------------------------------ Epoch 281 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.287746 - Iter 024 / 025, Loss: 0.437643 * Train accuracy / confusion: 79.38% / [[261, 99], [66, 374]], * Val accuracy / confusion: 69.42% / [[138, 92], [67, 223]] ------------------------------ Epoch 282 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.712020 - Iter 024 / 025, Loss: 0.339287 * Train accuracy / confusion: 79.12% / [[278, 82], [85, 355]], * Val accuracy / confusion: 71.15% / [[157, 73], [77, 213]] ------------------------------ Epoch 283 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.383317 - Iter 024 / 025, Loss: 0.399764 * Train accuracy / confusion: 80.12% / [[270, 87], [72, 371]], * Val accuracy / confusion: 71.15% / [[156, 74], [76, 214]] ------------------------------ Epoch 284 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.310689 - Iter 024 / 025, Loss: 0.487788 * Train accuracy / confusion: 82.38% / [[280, 73], [68, 379]], * Val accuracy / confusion: 69.42% / [[138, 92], [67, 223]] ------------------------------ Epoch 285 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.452751 - Iter 024 / 025, Loss: 0.374781 * Train accuracy / confusion: 81.00% / [[273, 82], [70, 375]], * Val accuracy / confusion: 72.88% / [[148, 82], [59, 231]] ------------------------------ Epoch 286 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.466001 - Iter 024 / 025, Loss: 0.480480 * Train accuracy / confusion: 80.50% / [[281, 76], [80, 363]], * Val accuracy / confusion: 71.92% / [[146, 84], [62, 228]] ------------------------------ Epoch 287 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.414860 - Iter 024 / 025, Loss: 0.524931 * Train accuracy / confusion: 79.88% / [[274, 76], [85, 365]], * Val accuracy / confusion: 71.92% / [[160, 70], [76, 214]] ------------------------------ Epoch 288 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.606926 - Iter 024 / 025, Loss: 0.405594 * Train accuracy / confusion: 80.62% / [[264, 89], [66, 381]], * Val accuracy / confusion: 73.65% / [[160, 70], [67, 223]] ------------------------------ Epoch 289 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.493251 - Iter 024 / 025, Loss: 0.377309 * Train accuracy / confusion: 80.75% / [[273, 83], [71, 373]], * Val accuracy / confusion: 73.08% / [[154, 76], [64, 226]] ------------------------------ Epoch 290 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.516278 - Iter 024 / 025, Loss: 0.639446 * Train accuracy / confusion: 79.12% / [[260, 93], [74, 373]], * Val accuracy / confusion: 71.35% / [[149, 81], [68, 222]] ------------------------------ Epoch 291 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.386222 - Iter 024 / 025, Loss: 0.366027 * Train accuracy / confusion: 79.50% / [[268, 88], [76, 368]], * Val accuracy / confusion: 70.96% / [[151, 79], [72, 218]] ------------------------------ Epoch 292 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.587155 - Iter 024 / 025, Loss: 0.269224 * Train accuracy / confusion: 79.88% / [[265, 90], [71, 374]], * Val accuracy / confusion: 67.88% / [[128, 102], [65, 225]] ------------------------------ Epoch 293 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.322154 - Iter 024 / 025, Loss: 0.475543 * Train accuracy / confusion: 77.88% / [[249, 111], [66, 374]], * Val accuracy / confusion: 71.73% / [[139, 91], [56, 234]] ------------------------------ Epoch 294 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.436208 - Iter 024 / 025, Loss: 0.432882 * Train accuracy / confusion: 79.38% / [[269, 89], [76, 366]], * Val accuracy / confusion: 70.00% / [[148, 82], [74, 216]] ------------------------------ Epoch 295 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.601724 - Iter 024 / 025, Loss: 0.391436 * Train accuracy / confusion: 81.75% / [[269, 86], [60, 385]], * Val accuracy / confusion: 68.85% / [[143, 87], [75, 215]] ------------------------------ Epoch 296 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.535841 - Iter 024 / 025, Loss: 0.407286 * Train accuracy / confusion: 79.00% / [[269, 92], [76, 363]], * Val accuracy / confusion: 71.54% / [[152, 78], [70, 220]] ------------------------------ Epoch 297 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.247055 - Iter 024 / 025, Loss: 0.457715 * Train accuracy / confusion: 80.75% / [[274, 87], [67, 372]], * Val accuracy / confusion: 73.27% / [[153, 77], [62, 228]] ------------------------------ Epoch 298 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.400729 - Iter 024 / 025, Loss: 0.538906 * Train accuracy / confusion: 79.88% / [[271, 85], [76, 368]], * Val accuracy / confusion: 73.65% / [[152, 78], [59, 231]] ------------------------------ Epoch 299 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.467637 - Iter 024 / 025, Loss: 0.382744 * Train accuracy / confusion: 79.88% / [[267, 90], [71, 372]], * Val accuracy / confusion: 70.96% / [[156, 74], [77, 213]] ------------------------------ Epoch 300 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.536648 - Iter 024 / 025, Loss: 0.512428 * Train accuracy / confusion: 79.25% / [[258, 98], [68, 376]], * Val accuracy / confusion: 72.88% / [[152, 78], [63, 227]] ------------------------------ Epoch 301 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.300175 - Iter 024 / 025, Loss: 0.495382 * Train accuracy / confusion: 80.62% / [[278, 77], [78, 367]], * Val accuracy / confusion: 73.08% / [[163, 67], [73, 217]] ------------------------------ Epoch 302 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.466927 - Iter 024 / 025, Loss: 0.443243 * Train accuracy / confusion: 80.38% / [[274, 83], [74, 369]], * Val accuracy / confusion: 72.50% / [[146, 84], [59, 231]] ------------------------------ Epoch 303 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.464906 - Iter 024 / 025, Loss: 0.263054 * Train accuracy / confusion: 83.00% / [[282, 72], [64, 382]], * Val accuracy / confusion: 72.69% / [[150, 80], [62, 228]] ------------------------------ Epoch 304 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.454927 - Iter 024 / 025, Loss: 0.601078 * Train accuracy / confusion: 79.88% / [[270, 91], [70, 369]], * Val accuracy / confusion: 73.27% / [[155, 75], [64, 226]] ------------------------------ Epoch 305 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.379163 - Iter 024 / 025, Loss: 0.355184 * Train accuracy / confusion: 81.00% / [[278, 79], [73, 370]], * Val accuracy / confusion: 71.73% / [[138, 92], [55, 235]] ------------------------------ Epoch 306 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.333451 - Iter 024 / 025, Loss: 0.381904 * Train accuracy / confusion: 80.00% / [[274, 81], [79, 366]], * Val accuracy / confusion: 69.62% / [[142, 88], [70, 220]] ------------------------------ Epoch 307 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.735439 - Iter 024 / 025, Loss: 0.450435 * Train accuracy / confusion: 79.12% / [[257, 96], [71, 376]], * Val accuracy / confusion: 70.19% / [[141, 89], [66, 224]] ------------------------------ Epoch 308 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.498326 - Iter 024 / 025, Loss: 0.626097 * Train accuracy / confusion: 80.25% / [[266, 87], [71, 376]], * Val accuracy / confusion: 69.42% / [[138, 92], [67, 223]] ------------------------------ Epoch 309 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.599591 - Iter 024 / 025, Loss: 0.663987 * Train accuracy / confusion: 78.38% / [[260, 94], [79, 367]], * Val accuracy / confusion: 71.35% / [[149, 81], [68, 222]] ------------------------------ Epoch 310 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.485886 - Iter 024 / 025, Loss: 0.491394 * Train accuracy / confusion: 81.25% / [[276, 83], [67, 374]], * Val accuracy / confusion: 71.54% / [[138, 92], [56, 234]] ------------------------------ Epoch 311 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.472432 - Iter 024 / 025, Loss: 0.526300 * Train accuracy / confusion: 80.50% / [[278, 80], [76, 366]], * Val accuracy / confusion: 69.23% / [[154, 76], [84, 206]] ------------------------------ Epoch 312 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.313900 - Iter 024 / 025, Loss: 0.389831 * Train accuracy / confusion: 80.25% / [[273, 83], [75, 369]], * Val accuracy / confusion: 69.42% / [[149, 81], [78, 212]] ------------------------------ Epoch 313 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.289706 - Iter 024 / 025, Loss: 0.513994 * Train accuracy / confusion: 79.38% / [[269, 88], [77, 366]], * Val accuracy / confusion: 69.81% / [[141, 89], [68, 222]] ------------------------------ Epoch 314 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.355061 - Iter 024 / 025, Loss: 0.484027 * Train accuracy / confusion: 80.38% / [[277, 81], [76, 366]], * Val accuracy / confusion: 72.12% / [[150, 80], [65, 225]] ------------------------------ Epoch 315 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.369786 - Iter 024 / 025, Loss: 0.333136 * Train accuracy / confusion: 81.50% / [[279, 79], [69, 373]], * Val accuracy / confusion: 73.08% / [[158, 72], [68, 222]] ------------------------------ Epoch 316 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.316138 - Iter 024 / 025, Loss: 0.414209 * Train accuracy / confusion: 81.12% / [[276, 81], [70, 373]], * Val accuracy / confusion: 69.62% / [[141, 89], [69, 221]] ------------------------------ Epoch 317 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.553539 - Iter 024 / 025, Loss: 0.389998 * Train accuracy / confusion: 81.38% / [[275, 82], [67, 376]], * Val accuracy / confusion: 74.81% / [[159, 71], [60, 230]] ------------------------------ Epoch 318 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.460509 - Iter 024 / 025, Loss: 0.350719 * Train accuracy / confusion: 79.75% / [[272, 87], [75, 366]], * Val accuracy / confusion: 73.08% / [[158, 72], [68, 222]] ------------------------------ Epoch 319 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.270236 - Iter 024 / 025, Loss: 0.321162 * Train accuracy / confusion: 80.62% / [[272, 84], [71, 373]], * Val accuracy / confusion: 75.38% / [[157, 73], [55, 235]] ------------------------------ Epoch 320 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.435157 - Iter 024 / 025, Loss: 0.403453 * Train accuracy / confusion: 80.25% / [[269, 85], [73, 373]], * Val accuracy / confusion: 73.08% / [[149, 81], [59, 231]] ------------------------------ Epoch 321 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.440468 - Iter 024 / 025, Loss: 0.555203 * Train accuracy / confusion: 78.88% / [[271, 85], [84, 360]], * Val accuracy / confusion: 71.35% / [[143, 87], [62, 228]] ------------------------------ Epoch 322 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.515152 - Iter 024 / 025, Loss: 0.442396 * Train accuracy / confusion: 80.00% / [[275, 80], [80, 365]], * Val accuracy / confusion: 71.35% / [[148, 82], [67, 223]] ------------------------------ Epoch 323 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.454139 - Iter 024 / 025, Loss: 0.523874 * Train accuracy / confusion: 80.50% / [[273, 86], [70, 371]], * Val accuracy / confusion: 71.35% / [[137, 93], [56, 234]] ------------------------------ Epoch 324 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.469257 - Iter 024 / 025, Loss: 0.419521 * Train accuracy / confusion: 80.88% / [[275, 80], [73, 372]], * Val accuracy / confusion: 70.77% / [[142, 88], [64, 226]] ------------------------------ Epoch 325 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.325530 - Iter 024 / 025, Loss: 0.526400 * Train accuracy / confusion: 80.88% / [[270, 84], [69, 377]], * Val accuracy / confusion: 70.77% / [[148, 82], [70, 220]] ------------------------------ Epoch 326 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.356781 - Iter 024 / 025, Loss: 0.517485 * Train accuracy / confusion: 81.50% / [[277, 77], [71, 375]], * Val accuracy / confusion: 71.15% / [[148, 82], [68, 222]] ------------------------------ Epoch 327 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.433207 - Iter 024 / 025, Loss: 0.420735 * Train accuracy / confusion: 78.88% / [[263, 92], [77, 368]], * Val accuracy / confusion: 72.12% / [[158, 72], [73, 217]] ------------------------------ Epoch 328 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.447025 - Iter 024 / 025, Loss: 0.389770 * Train accuracy / confusion: 81.12% / [[273, 83], [68, 376]], * Val accuracy / confusion: 69.04% / [[136, 94], [67, 223]] ------------------------------ Epoch 329 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.377006 - Iter 024 / 025, Loss: 0.376427 * Train accuracy / confusion: 79.50% / [[269, 86], [78, 367]], * Val accuracy / confusion: 72.12% / [[156, 74], [71, 219]] ------------------------------ Epoch 330 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.387959 - Iter 024 / 025, Loss: 0.499183 * Train accuracy / confusion: 80.50% / [[268, 84], [72, 376]], * Val accuracy / confusion: 73.65% / [[157, 73], [64, 226]] ------------------------------ Epoch 331 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.237827 - Iter 024 / 025, Loss: 0.467392 * Train accuracy / confusion: 80.50% / [[267, 85], [71, 377]], * Val accuracy / confusion: 70.58% / [[143, 87], [66, 224]] ------------------------------ Epoch 332 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.372073 - Iter 024 / 025, Loss: 0.448275 * Train accuracy / confusion: 80.62% / [[272, 85], [70, 373]], * Val accuracy / confusion: 71.15% / [[154, 76], [74, 216]] ------------------------------ Epoch 333 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.488615 - Iter 024 / 025, Loss: 0.632229 * Train accuracy / confusion: 79.88% / [[269, 88], [73, 370]], * Val accuracy / confusion: 71.15% / [[151, 79], [71, 219]] ------------------------------ Epoch 334 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.477412 - Iter 024 / 025, Loss: 0.363109 * Train accuracy / confusion: 81.75% / [[276, 76], [70, 378]], * Val accuracy / confusion: 71.92% / [[152, 78], [68, 222]] ------------------------------ Epoch 335 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.387167 - Iter 024 / 025, Loss: 0.435865 * Train accuracy / confusion: 80.50% / [[266, 93], [63, 378]], * Val accuracy / confusion: 67.12% / [[138, 92], [79, 211]] ------------------------------ Epoch 336 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.332689 - Iter 024 / 025, Loss: 0.389372 * Train accuracy / confusion: 81.62% / [[271, 84], [63, 382]], * Val accuracy / confusion: 71.15% / [[140, 90], [60, 230]] ------------------------------ Epoch 337 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.335251 - Iter 024 / 025, Loss: 0.390984 * Train accuracy / confusion: 79.50% / [[269, 89], [75, 367]], * Val accuracy / confusion: 70.77% / [[143, 87], [65, 225]] ------------------------------ Epoch 338 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.350894 - Iter 024 / 025, Loss: 0.416118 * Train accuracy / confusion: 82.38% / [[281, 76], [65, 378]], * Val accuracy / confusion: 70.58% / [[142, 88], [65, 225]] ------------------------------ Epoch 339 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.400241 - Iter 024 / 025, Loss: 0.620464 * Train accuracy / confusion: 79.88% / [[274, 81], [80, 365]], * Val accuracy / confusion: 72.12% / [[164, 66], [79, 211]] ------------------------------ Epoch 340 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.390896 - Iter 024 / 025, Loss: 0.311351 * Train accuracy / confusion: 80.62% / [[269, 85], [70, 376]], * Val accuracy / confusion: 74.42% / [[157, 73], [60, 230]] ------------------------------ Epoch 341 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.466241 - Iter 024 / 025, Loss: 0.404318 * Train accuracy / confusion: 82.75% / [[279, 77], [61, 383]], * Val accuracy / confusion: 72.31% / [[151, 79], [65, 225]] ------------------------------ Epoch 342 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.434895 - Iter 024 / 025, Loss: 0.417813 * Train accuracy / confusion: 80.62% / [[269, 86], [69, 376]], * Val accuracy / confusion: 69.62% / [[138, 92], [66, 224]] ------------------------------ Epoch 343 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.493332 - Iter 024 / 025, Loss: 0.277016 * Train accuracy / confusion: 81.12% / [[274, 83], [68, 375]], * Val accuracy / confusion: 70.58% / [[148, 82], [71, 219]] ------------------------------ Epoch 344 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.291267 - Iter 024 / 025, Loss: 0.592552 * Train accuracy / confusion: 78.38% / [[267, 92], [81, 360]], * Val accuracy / confusion: 70.19% / [[147, 83], [72, 218]] ------------------------------ Epoch 345 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.279571 - Iter 024 / 025, Loss: 0.323442 * Train accuracy / confusion: 83.50% / [[285, 70], [62, 383]], * Val accuracy / confusion: 70.58% / [[144, 86], [67, 223]] ------------------------------ Epoch 346 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.227743 - Iter 024 / 025, Loss: 0.440480 * Train accuracy / confusion: 80.62% / [[271, 84], [71, 374]], * Val accuracy / confusion: 71.35% / [[153, 77], [72, 218]] ------------------------------ Epoch 347 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.334386 - Iter 024 / 025, Loss: 0.389922 * Train accuracy / confusion: 83.00% / [[274, 80], [56, 390]], * Val accuracy / confusion: 70.38% / [[144, 86], [68, 222]] ------------------------------ Epoch 348 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.430078 - Iter 024 / 025, Loss: 0.500822 * Train accuracy / confusion: 82.38% / [[279, 81], [60, 380]], * Val accuracy / confusion: 69.04% / [[138, 92], [69, 221]] ------------------------------ Epoch 349 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.326712 - Iter 024 / 025, Loss: 0.346183 * Train accuracy / confusion: 81.62% / [[278, 74], [73, 375]], * Val accuracy / confusion: 73.08% / [[161, 69], [71, 219]] ------------------------------ Epoch 350 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.261653 - Iter 024 / 025, Loss: 0.408790 * Train accuracy / confusion: 80.25% / [[269, 86], [72, 373]], * Val accuracy / confusion: 70.00% / [[147, 83], [73, 217]] ------------------------------ Epoch 351 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.256875 - Iter 024 / 025, Loss: 0.691157 * Train accuracy / confusion: 78.75% / [[266, 87], [83, 364]], * Val accuracy / confusion: 70.38% / [[146, 84], [70, 220]] ------------------------------ Epoch 352 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.732051 - Iter 024 / 025, Loss: 0.470314 * Train accuracy / confusion: 82.38% / [[277, 79], [62, 382]], * Val accuracy / confusion: 70.77% / [[153, 77], [75, 215]] ------------------------------ Epoch 353 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.483230 - Iter 024 / 025, Loss: 0.450677 * Train accuracy / confusion: 80.12% / [[271, 88], [71, 370]], * Val accuracy / confusion: 70.96% / [[148, 82], [69, 221]] ------------------------------ Epoch 354 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.370454 - Iter 024 / 025, Loss: 0.388192 * Train accuracy / confusion: 79.88% / [[266, 87], [74, 373]], * Val accuracy / confusion: 71.92% / [[161, 69], [77, 213]] ------------------------------ Epoch 355 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.355576 - Iter 024 / 025, Loss: 0.374117 * Train accuracy / confusion: 81.00% / [[277, 81], [71, 371]], * Val accuracy / confusion: 69.62% / [[135, 95], [63, 227]] ------------------------------ Epoch 356 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.515524 - Iter 024 / 025, Loss: 0.517489 * Train accuracy / confusion: 81.62% / [[274, 82], [65, 379]], * Val accuracy / confusion: 70.00% / [[141, 89], [67, 223]] ------------------------------ Epoch 357 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.359095 - Iter 024 / 025, Loss: 0.394111 * Train accuracy / confusion: 81.75% / [[278, 77], [69, 376]], * Val accuracy / confusion: 69.04% / [[146, 84], [77, 213]] ------------------------------ Epoch 358 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.620795 - Iter 024 / 025, Loss: 0.426235 * Train accuracy / confusion: 81.75% / [[283, 72], [74, 371]], * Val accuracy / confusion: 72.12% / [[152, 78], [67, 223]] ------------------------------ Epoch 359 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.311801 - Iter 024 / 025, Loss: 0.507264 * Train accuracy / confusion: 80.75% / [[278, 80], [74, 368]], * Val accuracy / confusion: 71.15% / [[152, 78], [72, 218]] ------------------------------ Epoch 360 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.307178 - Iter 024 / 025, Loss: 0.463618 * Train accuracy / confusion: 79.88% / [[272, 86], [75, 367]], * Val accuracy / confusion: 74.62% / [[151, 79], [53, 237]] ------------------------------ Epoch 361 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.355341 - Iter 024 / 025, Loss: 0.530166 * Train accuracy / confusion: 80.25% / [[268, 84], [74, 374]], * Val accuracy / confusion: 72.69% / [[152, 78], [64, 226]] ------------------------------ Epoch 362 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.432114 - Iter 024 / 025, Loss: 0.314388 * Train accuracy / confusion: 80.88% / [[281, 79], [74, 366]], * Val accuracy / confusion: 69.62% / [[142, 88], [70, 220]] ------------------------------ Epoch 363 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.219882 - Iter 024 / 025, Loss: 0.311834 * Train accuracy / confusion: 79.75% / [[274, 84], [78, 364]], * Val accuracy / confusion: 73.46% / [[164, 66], [72, 218]] ------------------------------ Epoch 364 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.378564 - Iter 024 / 025, Loss: 0.302335 * Train accuracy / confusion: 81.25% / [[276, 78], [72, 374]], * Val accuracy / confusion: 71.35% / [[153, 77], [72, 218]] ------------------------------ Epoch 365 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.245042 - Iter 024 / 025, Loss: 0.356059 * Train accuracy / confusion: 80.50% / [[273, 80], [76, 371]], * Val accuracy / confusion: 71.54% / [[141, 89], [59, 231]] ------------------------------ Epoch 366 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.482719 - Iter 024 / 025, Loss: 0.553873 * Train accuracy / confusion: 80.50% / [[267, 83], [73, 377]], * Val accuracy / confusion: 69.62% / [[152, 78], [80, 210]] ------------------------------ Epoch 367 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.384983 - Iter 024 / 025, Loss: 0.744777 * Train accuracy / confusion: 80.38% / [[266, 87], [70, 377]], * Val accuracy / confusion: 69.62% / [[144, 86], [72, 218]] ------------------------------ Epoch 368 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.349923 - Iter 024 / 025, Loss: 0.597106 * Train accuracy / confusion: 80.88% / [[268, 88], [65, 379]], * Val accuracy / confusion: 70.38% / [[144, 86], [68, 222]] ------------------------------ Epoch 369 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.413542 - Iter 024 / 025, Loss: 0.438135 * Train accuracy / confusion: 80.62% / [[264, 88], [67, 381]], * Val accuracy / confusion: 69.81% / [[146, 84], [73, 217]] ------------------------------ Epoch 370 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.519329 - Iter 024 / 025, Loss: 0.382759 * Train accuracy / confusion: 80.62% / [[263, 89], [66, 382]], * Val accuracy / confusion: 70.00% / [[147, 83], [73, 217]] ------------------------------ Epoch 371 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.531725 - Iter 024 / 025, Loss: 0.386884 * Train accuracy / confusion: 76.88% / [[256, 102], [83, 359]], * Val accuracy / confusion: 70.38% / [[155, 75], [79, 211]] ------------------------------ Epoch 372 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.458406 - Iter 024 / 025, Loss: 0.481420 * Train accuracy / confusion: 81.38% / [[281, 79], [70, 370]], * Val accuracy / confusion: 70.00% / [[143, 87], [69, 221]] ------------------------------ Epoch 373 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.386904 - Iter 024 / 025, Loss: 0.448802 * Train accuracy / confusion: 79.75% / [[275, 81], [81, 363]], * Val accuracy / confusion: 69.81% / [[151, 79], [78, 212]] ------------------------------ Epoch 374 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.350359 - Iter 024 / 025, Loss: 0.354810 * Train accuracy / confusion: 80.50% / [[269, 88], [68, 375]], * Val accuracy / confusion: 73.08% / [[153, 77], [63, 227]] ------------------------------ Epoch 375 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.453803 - Iter 024 / 025, Loss: 0.339003 * Train accuracy / confusion: 81.62% / [[277, 78], [69, 376]], * Val accuracy / confusion: 70.38% / [[143, 87], [67, 223]] ------------------------------ Epoch 376 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.448071 - Iter 024 / 025, Loss: 0.461826 * Train accuracy / confusion: 80.88% / [[276, 84], [69, 371]], * Val accuracy / confusion: 71.73% / [[148, 82], [65, 225]] ------------------------------ Epoch 377 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.430047 - Iter 024 / 025, Loss: 0.327389 * Train accuracy / confusion: 81.00% / [[274, 83], [69, 374]], * Val accuracy / confusion: 69.23% / [[143, 87], [73, 217]] ------------------------------ Epoch 378 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.291446 - Iter 024 / 025, Loss: 0.407048 * Train accuracy / confusion: 79.38% / [[273, 86], [79, 362]], * Val accuracy / confusion: 71.15% / [[153, 77], [73, 217]] ------------------------------ Epoch 379 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.455786 - Iter 024 / 025, Loss: 0.471159 * Train accuracy / confusion: 80.25% / [[278, 78], [80, 364]], * Val accuracy / confusion: 73.08% / [[159, 71], [69, 221]] ------------------------------ Epoch 380 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.422975 - Iter 024 / 025, Loss: 0.499297 * Train accuracy / confusion: 81.75% / [[272, 83], [63, 382]], * Val accuracy / confusion: 72.12% / [[154, 76], [69, 221]] ------------------------------ Epoch 381 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.383650 - Iter 024 / 025, Loss: 0.481609 * Train accuracy / confusion: 79.75% / [[273, 83], [79, 365]], * Val accuracy / confusion: 71.54% / [[154, 76], [72, 218]] ------------------------------ Epoch 382 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.457123 - Iter 024 / 025, Loss: 0.494081 * Train accuracy / confusion: 81.25% / [[290, 71], [79, 360]], * Val accuracy / confusion: 72.69% / [[159, 71], [71, 219]] ------------------------------ Epoch 383 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.442015 - Iter 024 / 025, Loss: 0.548625 * Train accuracy / confusion: 82.25% / [[279, 81], [61, 379]], * Val accuracy / confusion: 72.31% / [[146, 84], [60, 230]] ------------------------------ Epoch 384 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.309091 - Iter 024 / 025, Loss: 0.479926 * Train accuracy / confusion: 82.50% / [[283, 76], [64, 377]], * Val accuracy / confusion: 70.77% / [[144, 86], [66, 224]] ------------------------------ Epoch 385 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.260311 - Iter 024 / 025, Loss: 0.389347 * Train accuracy / confusion: 80.50% / [[277, 76], [80, 367]], * Val accuracy / confusion: 69.62% / [[150, 80], [78, 212]] ------------------------------ Epoch 386 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.521049 - Iter 024 / 025, Loss: 0.353546 * Train accuracy / confusion: 80.38% / [[276, 80], [77, 367]], * Val accuracy / confusion: 71.15% / [[152, 78], [72, 218]] ------------------------------ Epoch 387 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.447822 - Iter 024 / 025, Loss: 0.315794 * Train accuracy / confusion: 81.50% / [[277, 80], [68, 375]], * Val accuracy / confusion: 72.12% / [[143, 87], [58, 232]] ------------------------------ Epoch 388 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.428195 - Iter 024 / 025, Loss: 0.355143 * Train accuracy / confusion: 80.00% / [[267, 87], [73, 373]], * Val accuracy / confusion: 70.00% / [[146, 84], [72, 218]] ------------------------------ Epoch 389 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.430064 - Iter 024 / 025, Loss: 0.413850 * Train accuracy / confusion: 79.00% / [[260, 90], [78, 372]], * Val accuracy / confusion: 70.58% / [[150, 80], [73, 217]] ------------------------------ Epoch 390 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.390119 - Iter 024 / 025, Loss: 0.520476 * Train accuracy / confusion: 81.00% / [[272, 79], [73, 376]], * Val accuracy / confusion: 70.96% / [[140, 90], [61, 229]] ------------------------------ Epoch 391 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.428223 - Iter 024 / 025, Loss: 0.333729 * Train accuracy / confusion: 79.50% / [[265, 90], [74, 371]], * Val accuracy / confusion: 71.54% / [[149, 81], [67, 223]] ------------------------------ Epoch 392 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.463850 - Iter 024 / 025, Loss: 0.505984 * Train accuracy / confusion: 80.25% / [[270, 87], [71, 372]], * Val accuracy / confusion: 71.35% / [[137, 93], [56, 234]] ------------------------------ Epoch 393 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.480307 - Iter 024 / 025, Loss: 0.383993 * Train accuracy / confusion: 82.38% / [[278, 79], [62, 381]], * Val accuracy / confusion: 71.73% / [[156, 74], [73, 217]] ------------------------------ Epoch 394 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.437858 - Iter 024 / 025, Loss: 0.454428 * Train accuracy / confusion: 80.75% / [[270, 87], [67, 376]], * Val accuracy / confusion: 72.50% / [[151, 79], [64, 226]] ------------------------------ Epoch 395 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.362258 - Iter 024 / 025, Loss: 0.453174 * Train accuracy / confusion: 81.00% / [[275, 81], [71, 373]], * Val accuracy / confusion: 69.23% / [[145, 85], [75, 215]] ------------------------------ Epoch 396 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.570624 - Iter 024 / 025, Loss: 0.513548 * Train accuracy / confusion: 82.12% / [[278, 76], [67, 379]], * Val accuracy / confusion: 70.19% / [[146, 84], [71, 219]] ------------------------------ Epoch 397 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.338486 - Iter 024 / 025, Loss: 0.770940 * Train accuracy / confusion: 79.62% / [[275, 85], [78, 362]], * Val accuracy / confusion: 72.69% / [[148, 82], [60, 230]] ------------------------------ Epoch 398 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.358910 - Iter 024 / 025, Loss: 0.567152 * Train accuracy / confusion: 80.62% / [[270, 88], [67, 375]], * Val accuracy / confusion: 71.15% / [[147, 83], [67, 223]] ------------------------------ Epoch 399 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.507770 - Iter 024 / 025, Loss: 0.359420 * Train accuracy / confusion: 78.38% / [[268, 87], [86, 359]], * Val accuracy / confusion: 73.27% / [[167, 63], [76, 214]] ------------------------------ Epoch 400 / 500, Learning rate: 1.00e-03 ------------------------------ - Iter 012 / 025, Loss: 0.281565 - Iter 024 / 025, Loss: 0.313794 * Train accuracy / confusion: 81.75% / [[270, 88], [58, 384]], * Val accuracy / confusion: 71.92% / [[155, 75], [71, 219]] ------------------------------ Epoch 401 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.289060 - Iter 024 / 025, Loss: 0.323070 * Train accuracy / confusion: 80.88% / [[280, 81], [72, 367]], * Val accuracy / confusion: 70.77% / [[145, 85], [67, 223]] ------------------------------ Epoch 402 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.301345 - Iter 024 / 025, Loss: 0.255601 * Train accuracy / confusion: 81.62% / [[279, 77], [70, 374]], * Val accuracy / confusion: 70.77% / [[146, 84], [68, 222]] ------------------------------ Epoch 403 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.517413 - Iter 024 / 025, Loss: 0.281159 * Train accuracy / confusion: 80.25% / [[273, 81], [77, 369]], * Val accuracy / confusion: 69.81% / [[149, 81], [76, 214]] ------------------------------ Epoch 404 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.389515 - Iter 024 / 025, Loss: 0.365379 * Train accuracy / confusion: 80.62% / [[278, 77], [78, 367]], * Val accuracy / confusion: 69.42% / [[144, 86], [73, 217]] ------------------------------ Epoch 405 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.305217 - Iter 024 / 025, Loss: 0.501279 * Train accuracy / confusion: 80.12% / [[264, 88], [71, 377]], * Val accuracy / confusion: 71.73% / [[146, 84], [63, 227]] ------------------------------ Epoch 406 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.249863 - Iter 024 / 025, Loss: 0.451391 * Train accuracy / confusion: 83.50% / [[284, 69], [63, 384]], * Val accuracy / confusion: 72.69% / [[158, 72], [70, 220]] ------------------------------ Epoch 407 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.315768 - Iter 024 / 025, Loss: 0.439313 * Train accuracy / confusion: 79.75% / [[266, 85], [77, 372]], * Val accuracy / confusion: 71.15% / [[160, 70], [80, 210]] ------------------------------ Epoch 408 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.474939 - Iter 024 / 025, Loss: 0.472864 * Train accuracy / confusion: 81.00% / [[267, 90], [62, 381]], * Val accuracy / confusion: 70.77% / [[144, 86], [66, 224]] ------------------------------ Epoch 409 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.379140 - Iter 024 / 025, Loss: 0.480968 * Train accuracy / confusion: 81.75% / [[276, 77], [69, 378]], * Val accuracy / confusion: 71.73% / [[150, 80], [67, 223]] ------------------------------ Epoch 410 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.330488 - Iter 024 / 025, Loss: 0.476634 * Train accuracy / confusion: 80.00% / [[272, 85], [75, 368]], * Val accuracy / confusion: 70.38% / [[153, 77], [77, 213]] ------------------------------ Epoch 411 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.388980 - Iter 024 / 025, Loss: 0.491315 * Train accuracy / confusion: 82.12% / [[276, 77], [66, 381]], * Val accuracy / confusion: 70.00% / [[144, 86], [70, 220]] ------------------------------ Epoch 412 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.289353 - Iter 024 / 025, Loss: 0.379373 * Train accuracy / confusion: 79.50% / [[269, 88], [76, 367]], * Val accuracy / confusion: 70.58% / [[152, 78], [75, 215]] ------------------------------ Epoch 413 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.329833 - Iter 024 / 025, Loss: 0.474376 * Train accuracy / confusion: 81.25% / [[274, 82], [68, 376]], * Val accuracy / confusion: 70.77% / [[144, 86], [66, 224]] ------------------------------ Epoch 414 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.340789 - Iter 024 / 025, Loss: 0.364479 * Train accuracy / confusion: 82.00% / [[283, 75], [69, 373]], * Val accuracy / confusion: 69.81% / [[145, 85], [72, 218]] ------------------------------ Epoch 415 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.424854 - Iter 024 / 025, Loss: 0.508491 * Train accuracy / confusion: 81.75% / [[282, 75], [71, 372]], * Val accuracy / confusion: 71.54% / [[149, 81], [67, 223]] ------------------------------ Epoch 416 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.296820 - Iter 024 / 025, Loss: 0.284754 * Train accuracy / confusion: 81.50% / [[281, 80], [68, 371]], * Val accuracy / confusion: 68.65% / [[147, 83], [80, 210]] ------------------------------ Epoch 417 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.403626 - Iter 024 / 025, Loss: 0.398792 * Train accuracy / confusion: 79.50% / [[273, 84], [80, 363]], * Val accuracy / confusion: 70.00% / [[151, 79], [77, 213]] ------------------------------ Epoch 418 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.414188 - Iter 024 / 025, Loss: 0.384093 * Train accuracy / confusion: 81.12% / [[280, 76], [75, 369]], * Val accuracy / confusion: 70.96% / [[140, 90], [61, 229]] ------------------------------ Epoch 419 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.533959 - Iter 024 / 025, Loss: 0.415979 * Train accuracy / confusion: 82.62% / [[280, 74], [65, 381]], * Val accuracy / confusion: 70.00% / [[147, 83], [73, 217]] ------------------------------ Epoch 420 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.407307 - Iter 024 / 025, Loss: 0.433200 * Train accuracy / confusion: 81.38% / [[271, 84], [65, 380]], * Val accuracy / confusion: 70.19% / [[150, 80], [75, 215]] ------------------------------ Epoch 421 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.444978 - Iter 024 / 025, Loss: 0.401209 * Train accuracy / confusion: 80.88% / [[281, 77], [76, 366]], * Val accuracy / confusion: 70.96% / [[147, 83], [68, 222]] ------------------------------ Epoch 422 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.437187 - Iter 024 / 025, Loss: 0.312142 * Train accuracy / confusion: 81.88% / [[280, 75], [70, 375]], * Val accuracy / confusion: 69.81% / [[144, 86], [71, 219]] ------------------------------ Epoch 423 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.328234 - Iter 024 / 025, Loss: 0.415085 * Train accuracy / confusion: 80.62% / [[280, 76], [79, 365]], * Val accuracy / confusion: 73.27% / [[156, 74], [65, 225]] ------------------------------ Epoch 424 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.538698 - Iter 024 / 025, Loss: 0.408564 * Train accuracy / confusion: 80.62% / [[272, 80], [75, 373]], * Val accuracy / confusion: 70.19% / [[142, 88], [67, 223]] ------------------------------ Epoch 425 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.478998 - Iter 024 / 025, Loss: 0.475018 * Train accuracy / confusion: 78.88% / [[273, 85], [84, 358]], * Val accuracy / confusion: 71.54% / [[150, 80], [68, 222]] ------------------------------ Epoch 426 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.314144 - Iter 024 / 025, Loss: 0.556397 * Train accuracy / confusion: 80.12% / [[282, 77], [82, 359]], * Val accuracy / confusion: 70.00% / [[149, 81], [75, 215]] ------------------------------ Epoch 427 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.545462 - Iter 024 / 025, Loss: 0.564507 * Train accuracy / confusion: 80.50% / [[274, 81], [75, 370]], * Val accuracy / confusion: 72.31% / [[160, 70], [74, 216]] ------------------------------ Epoch 428 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.383643 - Iter 024 / 025, Loss: 0.316228 * Train accuracy / confusion: 80.00% / [[264, 88], [72, 376]], * Val accuracy / confusion: 71.54% / [[152, 78], [70, 220]] ------------------------------ Epoch 429 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.426379 - Iter 024 / 025, Loss: 0.282061 * Train accuracy / confusion: 80.62% / [[273, 80], [75, 372]], * Val accuracy / confusion: 70.38% / [[145, 85], [69, 221]] ------------------------------ Epoch 430 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.581665 - Iter 024 / 025, Loss: 0.464739 * Train accuracy / confusion: 82.62% / [[278, 79], [60, 383]], * Val accuracy / confusion: 73.65% / [[157, 73], [64, 226]] ------------------------------ Epoch 431 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.397651 - Iter 024 / 025, Loss: 0.686076 * Train accuracy / confusion: 80.12% / [[274, 77], [82, 367]], * Val accuracy / confusion: 70.77% / [[143, 87], [65, 225]] ------------------------------ Epoch 432 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.308611 - Iter 024 / 025, Loss: 0.748392 * Train accuracy / confusion: 79.25% / [[269, 87], [79, 365]], * Val accuracy / confusion: 71.35% / [[149, 81], [68, 222]] ------------------------------ Epoch 433 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.270671 - Iter 024 / 025, Loss: 0.389381 * Train accuracy / confusion: 82.62% / [[274, 76], [63, 387]], * Val accuracy / confusion: 71.92% / [[162, 68], [78, 212]] ------------------------------ Epoch 434 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.457110 - Iter 024 / 025, Loss: 0.498461 * Train accuracy / confusion: 81.00% / [[278, 79], [73, 370]], * Val accuracy / confusion: 70.96% / [[147, 83], [68, 222]] ------------------------------ Epoch 435 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.378174 - Iter 024 / 025, Loss: 0.379466 * Train accuracy / confusion: 81.12% / [[279, 78], [73, 370]], * Val accuracy / confusion: 70.19% / [[147, 83], [72, 218]] ------------------------------ Epoch 436 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.416695 - Iter 024 / 025, Loss: 0.205632 * Train accuracy / confusion: 79.88% / [[273, 86], [75, 366]], * Val accuracy / confusion: 71.15% / [[156, 74], [76, 214]] ------------------------------ Epoch 437 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.372857 - Iter 024 / 025, Loss: 0.393642 * Train accuracy / confusion: 81.88% / [[279, 76], [69, 376]], * Val accuracy / confusion: 71.92% / [[146, 84], [62, 228]] ------------------------------ Epoch 438 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.521838 - Iter 024 / 025, Loss: 0.528497 * Train accuracy / confusion: 80.75% / [[271, 81], [73, 375]], * Val accuracy / confusion: 72.12% / [[160, 70], [75, 215]] ------------------------------ Epoch 439 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.388935 - Iter 024 / 025, Loss: 0.495761 * Train accuracy / confusion: 81.38% / [[272, 83], [66, 379]], * Val accuracy / confusion: 70.38% / [[147, 83], [71, 219]] ------------------------------ Epoch 440 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.446445 - Iter 024 / 025, Loss: 0.374359 * Train accuracy / confusion: 78.88% / [[262, 91], [78, 369]], * Val accuracy / confusion: 70.19% / [[142, 88], [67, 223]] ------------------------------ Epoch 441 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.611342 - Iter 024 / 025, Loss: 0.422998 * Train accuracy / confusion: 80.62% / [[265, 90], [65, 380]], * Val accuracy / confusion: 73.65% / [[164, 66], [71, 219]] ------------------------------ Epoch 442 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.513020 - Iter 024 / 025, Loss: 0.401772 * Train accuracy / confusion: 79.00% / [[264, 88], [80, 368]], * Val accuracy / confusion: 72.50% / [[152, 78], [65, 225]] ------------------------------ Epoch 443 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.548315 - Iter 024 / 025, Loss: 0.439009 * Train accuracy / confusion: 81.50% / [[284, 71], [77, 368]], * Val accuracy / confusion: 73.08% / [[159, 71], [69, 221]] ------------------------------ Epoch 444 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.653447 - Iter 024 / 025, Loss: 0.409196 * Train accuracy / confusion: 82.00% / [[284, 74], [70, 372]], * Val accuracy / confusion: 68.65% / [[146, 84], [79, 211]] ------------------------------ Epoch 445 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.374190 - Iter 024 / 025, Loss: 0.460529 * Train accuracy / confusion: 81.12% / [[279, 78], [73, 370]], * Val accuracy / confusion: 71.54% / [[146, 84], [64, 226]] ------------------------------ Epoch 446 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.339123 - Iter 024 / 025, Loss: 0.372773 * Train accuracy / confusion: 79.50% / [[274, 85], [79, 362]], * Val accuracy / confusion: 69.23% / [[145, 85], [75, 215]] ------------------------------ Epoch 447 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.376338 - Iter 024 / 025, Loss: 0.357766 * Train accuracy / confusion: 80.38% / [[278, 78], [79, 365]], * Val accuracy / confusion: 70.58% / [[148, 82], [71, 219]] ------------------------------ Epoch 448 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.487143 - Iter 024 / 025, Loss: 0.485751 * Train accuracy / confusion: 79.00% / [[265, 91], [77, 367]], * Val accuracy / confusion: 73.27% / [[154, 76], [63, 227]] ------------------------------ Epoch 449 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.327457 - Iter 024 / 025, Loss: 0.574287 * Train accuracy / confusion: 79.25% / [[266, 88], [78, 368]], * Val accuracy / confusion: 67.12% / [[135, 95], [76, 214]] ------------------------------ Epoch 450 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.348343 - Iter 024 / 025, Loss: 0.604357 * Train accuracy / confusion: 82.38% / [[286, 71], [70, 373]], * Val accuracy / confusion: 69.81% / [[146, 84], [73, 217]] ------------------------------ Epoch 451 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.405895 - Iter 024 / 025, Loss: 0.549229 * Train accuracy / confusion: 80.12% / [[274, 84], [75, 367]], * Val accuracy / confusion: 72.88% / [[151, 79], [62, 228]] ------------------------------ Epoch 452 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.381468 - Iter 024 / 025, Loss: 0.557862 * Train accuracy / confusion: 79.88% / [[269, 93], [68, 370]], * Val accuracy / confusion: 70.77% / [[151, 79], [73, 217]] ------------------------------ Epoch 453 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.525041 - Iter 024 / 025, Loss: 0.364701 * Train accuracy / confusion: 81.12% / [[279, 80], [71, 370]], * Val accuracy / confusion: 73.46% / [[154, 76], [62, 228]] ------------------------------ Epoch 454 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.306646 - Iter 024 / 025, Loss: 0.474600 * Train accuracy / confusion: 79.38% / [[274, 85], [80, 361]], * Val accuracy / confusion: 71.35% / [[145, 85], [64, 226]] ------------------------------ Epoch 455 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.394946 - Iter 024 / 025, Loss: 0.387034 * Train accuracy / confusion: 81.88% / [[281, 77], [68, 374]], * Val accuracy / confusion: 71.15% / [[154, 76], [74, 216]] ------------------------------ Epoch 456 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.539515 - Iter 024 / 025, Loss: 0.439842 * Train accuracy / confusion: 79.62% / [[265, 91], [72, 372]], * Val accuracy / confusion: 71.92% / [[155, 75], [71, 219]] ------------------------------ Epoch 457 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.463216 - Iter 024 / 025, Loss: 0.302215 * Train accuracy / confusion: 82.88% / [[282, 73], [64, 381]], * Val accuracy / confusion: 71.15% / [[155, 75], [75, 215]] ------------------------------ Epoch 458 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.417509 - Iter 024 / 025, Loss: 0.430043 * Train accuracy / confusion: 79.88% / [[272, 80], [81, 367]], * Val accuracy / confusion: 72.69% / [[158, 72], [70, 220]] ------------------------------ Epoch 459 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.513497 - Iter 024 / 025, Loss: 0.375700 * Train accuracy / confusion: 79.38% / [[264, 92], [73, 371]], * Val accuracy / confusion: 70.58% / [[147, 83], [70, 220]] ------------------------------ Epoch 460 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.476457 - Iter 024 / 025, Loss: 0.309346 * Train accuracy / confusion: 81.00% / [[275, 81], [71, 373]], * Val accuracy / confusion: 71.35% / [[145, 85], [64, 226]] ------------------------------ Epoch 461 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.408401 - Iter 024 / 025, Loss: 0.360786 * Train accuracy / confusion: 82.25% / [[278, 75], [67, 380]], * Val accuracy / confusion: 70.96% / [[147, 83], [68, 222]] ------------------------------ Epoch 462 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.285212 - Iter 024 / 025, Loss: 0.362067 * Train accuracy / confusion: 81.88% / [[273, 81], [64, 382]], * Val accuracy / confusion: 70.19% / [[150, 80], [75, 215]] ------------------------------ Epoch 463 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.438621 - Iter 024 / 025, Loss: 0.321584 * Train accuracy / confusion: 82.12% / [[275, 82], [61, 382]], * Val accuracy / confusion: 72.88% / [[145, 85], [56, 234]] ------------------------------ Epoch 464 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.470100 - Iter 024 / 025, Loss: 0.460853 * Train accuracy / confusion: 79.38% / [[275, 84], [81, 360]], * Val accuracy / confusion: 69.81% / [[149, 81], [76, 214]] ------------------------------ Epoch 465 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.368799 - Iter 024 / 025, Loss: 0.524964 * Train accuracy / confusion: 79.88% / [[271, 89], [72, 368]], * Val accuracy / confusion: 70.77% / [[144, 86], [66, 224]] ------------------------------ Epoch 466 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.353456 - Iter 024 / 025, Loss: 0.305175 * Train accuracy / confusion: 82.00% / [[286, 76], [68, 370]], * Val accuracy / confusion: 68.85% / [[134, 96], [66, 224]] ------------------------------ Epoch 467 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.479301 - Iter 024 / 025, Loss: 0.728087 * Train accuracy / confusion: 80.38% / [[273, 85], [72, 370]], * Val accuracy / confusion: 70.00% / [[138, 92], [64, 226]] ------------------------------ Epoch 468 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.365427 - Iter 024 / 025, Loss: 0.360087 * Train accuracy / confusion: 82.50% / [[284, 77], [63, 376]], * Val accuracy / confusion: 73.08% / [[157, 73], [67, 223]] ------------------------------ Epoch 469 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.469494 - Iter 024 / 025, Loss: 0.480517 * Train accuracy / confusion: 80.62% / [[277, 79], [76, 368]], * Val accuracy / confusion: 72.12% / [[164, 66], [79, 211]] ------------------------------ Epoch 470 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.328603 - Iter 024 / 025, Loss: 0.376733 * Train accuracy / confusion: 81.25% / [[270, 78], [72, 380]], * Val accuracy / confusion: 71.35% / [[151, 79], [70, 220]] ------------------------------ Epoch 471 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.553194 - Iter 024 / 025, Loss: 0.617817 * Train accuracy / confusion: 79.50% / [[269, 89], [75, 367]], * Val accuracy / confusion: 70.58% / [[144, 86], [67, 223]] ------------------------------ Epoch 472 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.440964 - Iter 024 / 025, Loss: 0.625196 * Train accuracy / confusion: 82.00% / [[281, 72], [72, 375]], * Val accuracy / confusion: 70.58% / [[147, 83], [70, 220]] ------------------------------ Epoch 473 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.402849 - Iter 024 / 025, Loss: 0.334549 * Train accuracy / confusion: 81.12% / [[280, 80], [71, 369]], * Val accuracy / confusion: 71.92% / [[152, 78], [68, 222]] ------------------------------ Epoch 474 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.413949 - Iter 024 / 025, Loss: 0.414863 * Train accuracy / confusion: 82.25% / [[284, 73], [69, 374]], * Val accuracy / confusion: 71.35% / [[156, 74], [75, 215]] ------------------------------ Epoch 475 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.472040 - Iter 024 / 025, Loss: 0.326776 * Train accuracy / confusion: 82.25% / [[276, 75], [67, 382]], * Val accuracy / confusion: 70.77% / [[153, 77], [75, 215]] ------------------------------ Epoch 476 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.437949 - Iter 024 / 025, Loss: 0.456984 * Train accuracy / confusion: 81.38% / [[277, 80], [69, 374]], * Val accuracy / confusion: 70.58% / [[148, 82], [71, 219]] ------------------------------ Epoch 477 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.404199 - Iter 024 / 025, Loss: 0.400555 * Train accuracy / confusion: 81.12% / [[272, 80], [71, 377]], * Val accuracy / confusion: 73.65% / [[151, 79], [58, 232]] ------------------------------ Epoch 478 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.472111 - Iter 024 / 025, Loss: 0.232574 * Train accuracy / confusion: 81.62% / [[273, 85], [62, 380]], * Val accuracy / confusion: 72.12% / [[158, 72], [73, 217]] ------------------------------ Epoch 479 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.438844 - Iter 024 / 025, Loss: 0.551827 * Train accuracy / confusion: 82.25% / [[281, 74], [68, 377]], * Val accuracy / confusion: 70.00% / [[152, 78], [78, 212]] ------------------------------ Epoch 480 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.400512 - Iter 024 / 025, Loss: 0.171234 * Train accuracy / confusion: 81.50% / [[273, 81], [67, 379]], * Val accuracy / confusion: 72.12% / [[154, 76], [69, 221]] ------------------------------ Epoch 481 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.450290 - Iter 024 / 025, Loss: 0.484751 * Train accuracy / confusion: 81.12% / [[276, 78], [73, 373]], * Val accuracy / confusion: 71.35% / [[154, 76], [73, 217]] ------------------------------ Epoch 482 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.288144 - Iter 024 / 025, Loss: 0.377760 * Train accuracy / confusion: 81.12% / [[282, 78], [73, 367]], * Val accuracy / confusion: 71.35% / [[146, 84], [65, 225]] ------------------------------ Epoch 483 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.325661 - Iter 024 / 025, Loss: 0.497028 * Train accuracy / confusion: 82.50% / [[283, 73], [67, 377]], * Val accuracy / confusion: 69.04% / [[146, 84], [77, 213]] ------------------------------ Epoch 484 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.606336 - Iter 024 / 025, Loss: 0.377087 * Train accuracy / confusion: 81.38% / [[272, 81], [68, 379]], * Val accuracy / confusion: 69.81% / [[137, 93], [64, 226]] ------------------------------ Epoch 485 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.561108 - Iter 024 / 025, Loss: 0.445170 * Train accuracy / confusion: 81.00% / [[273, 86], [66, 375]], * Val accuracy / confusion: 71.73% / [[151, 79], [68, 222]] ------------------------------ Epoch 486 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.592165 - Iter 024 / 025, Loss: 0.435217 * Train accuracy / confusion: 80.88% / [[276, 81], [72, 371]], * Val accuracy / confusion: 69.42% / [[149, 81], [78, 212]] ------------------------------ Epoch 487 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.515818 - Iter 024 / 025, Loss: 0.520324 * Train accuracy / confusion: 82.00% / [[285, 68], [76, 371]], * Val accuracy / confusion: 70.38% / [[151, 79], [75, 215]] ------------------------------ Epoch 488 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.406771 - Iter 024 / 025, Loss: 0.397963 * Train accuracy / confusion: 80.25% / [[270, 83], [75, 372]], * Val accuracy / confusion: 70.58% / [[135, 95], [58, 232]] ------------------------------ Epoch 489 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.382377 - Iter 024 / 025, Loss: 0.495741 * Train accuracy / confusion: 81.75% / [[281, 74], [72, 373]], * Val accuracy / confusion: 71.54% / [[149, 81], [67, 223]] ------------------------------ Epoch 490 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.490869 - Iter 024 / 025, Loss: 0.444840 * Train accuracy / confusion: 80.25% / [[271, 82], [76, 371]], * Val accuracy / confusion: 67.88% / [[153, 77], [90, 200]] ------------------------------ Epoch 491 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.322325 - Iter 024 / 025, Loss: 0.346971 * Train accuracy / confusion: 80.12% / [[271, 87], [72, 370]], * Val accuracy / confusion: 70.77% / [[143, 87], [65, 225]] ------------------------------ Epoch 492 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.439835 - Iter 024 / 025, Loss: 0.400642 * Train accuracy / confusion: 79.50% / [[267, 90], [74, 369]], * Val accuracy / confusion: 69.23% / [[150, 80], [80, 210]] ------------------------------ Epoch 493 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.400505 - Iter 024 / 025, Loss: 0.431358 * Train accuracy / confusion: 80.25% / [[270, 87], [71, 372]], * Val accuracy / confusion: 71.73% / [[156, 74], [73, 217]] ------------------------------ Epoch 494 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.428505 - Iter 024 / 025, Loss: 0.400678 * Train accuracy / confusion: 80.50% / [[269, 86], [70, 375]], * Val accuracy / confusion: 69.23% / [[145, 85], [75, 215]] ------------------------------ Epoch 495 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.309089 - Iter 024 / 025, Loss: 0.630347 * Train accuracy / confusion: 81.00% / [[271, 85], [67, 377]], * Val accuracy / confusion: 71.54% / [[153, 77], [71, 219]] ------------------------------ Epoch 496 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.358036 - Iter 024 / 025, Loss: 0.504788 * Train accuracy / confusion: 80.25% / [[274, 87], [71, 368]], * Val accuracy / confusion: 70.96% / [[145, 85], [66, 224]] ------------------------------ Epoch 497 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.342355 - Iter 024 / 025, Loss: 0.477139 * Train accuracy / confusion: 80.88% / [[265, 84], [69, 382]], * Val accuracy / confusion: 70.19% / [[152, 78], [77, 213]] ------------------------------ Epoch 498 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.403708 - Iter 024 / 025, Loss: 0.652973 * Train accuracy / confusion: 80.38% / [[275, 82], [75, 368]], * Val accuracy / confusion: 72.88% / [[161, 69], [72, 218]] ------------------------------ Epoch 499 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.283076 - Iter 024 / 025, Loss: 0.319960 * Train accuracy / confusion: 81.00% / [[275, 80], [72, 373]], * Val accuracy / confusion: 69.42% / [[154, 76], [83, 207]] ------------------------------ Epoch 500 / 500, Learning rate: 1.00e-04 ------------------------------ - Iter 012 / 025, Loss: 0.375607 - Iter 024 / 025, Loss: 0.338723 * Train accuracy / confusion: 78.75% / [[268, 89], [81, 362]], * Val accuracy / confusion: 72.88% / [[148, 82], [59, 231]] **************************************** Training Ends ****************************************
- Test accuracy (last model): 74.20% - Confusion matrix (last model): [[1000 410] [ 395 1315]]
- Test accuracy (best model): 70.29% - Confusion matrix (best model): [[1015 395] [ 532 1178]]
